Detailed Program

ICDCS 2025 – Detailed Conference Program

ICDCS 2025 Detailed Program

45th IEEE International Conference on Distributed Computing Systems

July 20-23, 2025 • Glasgow, Scotland

📋 Complete Program Details

Download the complete detailed program with all sessions, papers, and scheduling information

Download Detailed Program (PDF)

Sunday, July 20, 2025

08:00-09:00
Breakfast (Radisson Blu)
09:00-17:00
Posters
Megalith 1

Poster presentations available throughout the day

10:30-11:00 | Coffee Break
11:00-12:30 | Workshops & Tutorials (Morning Session 2)

Continuation of Morning Session 1 tutorials and workshops

12:30-13:45 | Lunch
13:45-15:15 | Workshops, Tutorials, and Doctoral Consortium (Afternoon Session 1)
Room 6
DC 1: Core Advances in Distributed AI & Federated Learning
  • #85
    Multi-Modal Personalized Federated Learning for Human Intent Prediction
    Maximilian Forstenhäusler
  • #87
    A Robust Byzantine-Resilient Framework for Federated Learning
    Ke Xiao
  • #75
    Optimization of Knowledge Distillation in Heterogeneous Federated Problems
    Wenhao Li and Kevin Bryson
  • #80
    Bridging Mobility and Federated Learning: Toward Dynamic Client Orchestration in Distributed Edge Systems
    Qiyuan Wang
  • #84
    CRS-FL: A Novel Framework for Communication Efficient, Reliable, and Scalable Decentralized Federated Learning
    Vahideh Hayyolalam and Öznur Özkasap
15:15-15:45 | Coffee Break
15:45-17:15 | Workshops, Tutorials, and Doctoral Consortium (Afternoon Session 2)

Continuation of Afternoon Session 1 tutorials and workshops

Room 6
DC 2: Distributed AI in Real-World Systems
  • #54
    Improving Healthcare AI-Support Systems for Skin Lesion Diagnosis With tinyML
    Tess Watt, Christos Chrysoulas and Rob Stewart
  • #83
    Distributed Temporal Graph Learning with Provenance for APT Detection in Supply Chains
    Zhuoran Tan and Jeremy Singer
  • #86
    Towards Sustainable Synchronization of Digital Twins in Next-Generation IoT Networks
    Yasith Ruwanga Wanigarathna Wanigarathna Arachchige, Roberto Morabito and Sasu Tarkoma
  • #113
    An energy-aware priority-based AI-enabled offloading framework in Edge-to-Cloud continuum
    Jaber Pournazari, Ahmed Al-Dubai and Xiaodong Liu
  • #79
    Digital Currency and Blockchain
    Uwe A. Kuehn

Monday, July 21, 2025

07:45-08:30
Breakfast (Radisson Blu)
08:30-09:00
Opening Ceremony
09:00-10:00
Megalith 2 & 3
10:00-10:30 | Coffee Break
10:30-12:00 | Technical Morning Sessions 1
AI/ML 1: Decentralized and Collaborative Learning
Megalith 2
Session Chair: TBA
  • #284
    PRISAM: Efficient Personalization via BN Masks in Heterogeneous Decentralized Federated Learning
    Shan Chang, Xianbo Wang, Hao Yu, Denghui Li, Guanghao Liang, Hongzi Zhu and Bo Li
  • #296
    Few-Shot Domain Adaptation for Effective Data Drift Mitigation in Network Management
    Seyed Soheil Johari, Massimo Tornatore, Raouf Boutaba and Aladdin Saleh
  • #318
    FedShapleX: Shapley Value Driven Context-Aware Model-Heterogeneous Federated Learning
    Jifeng Chen, Haibo Zhang and Amanda Barnard
  • #409
    PairUpLight: A Multi-agent Reinforcement Learning Approach for Coordinated Multi-intersection Traffic Signal Control
    Wenlu Du, Jing Li and Guiling Wang
Edge 1: Efficient and Adaptive Edge Computing
Megalith 3
Session Chair: TBA
  • #67
    NeRFlex: Resource-aware Real-time High-quality Rendering of Complex Scenes on Mobile Devices
    Zhe Wang and Yifei Zhu
  • #132
    Multipath Parallel Reverse Segment Download (MPRD) for Peer to Peer Content Delivery
    Suresh Srinivasan and Ehsan Aryafar
  • #289
    TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
    Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C.-H. Ngai, Jingpu Duan, Deke Guo, Xu Chen and Xiaoxi Zhang
  • #363
    Plan-Based Scalable Online Virtual Network Embedding
    Oleg Kolosov, Gala Yadgar, David Breitgand and Dean Lorenz
BC&DB 1: Security and Fairness in Blockchain
Finnieston
Session Chair: TBA
  • #187
    EquiBFT: A Framework for Achieving Fairness in BFT Consensus
    Siwei Cai, Lei Fan, Shengyun Liu and Hong-Sheng Zhou
  • #209
    Mosaic: Client-driven Account Allocation Framework in Sharded Blockchains
    Yuanzhe Zhang, Shirui Pan and Jiangshan Yu
  • #228
    Asynchronous Dynamic Committee Proactive Secret Sharing for Large Data
    Zhenliang Lu, Tianyi Zhang, Alan Fekete, Kwok Yan Lam and Qiang Tang
  • #247
    Depermissioning Web3: a Permissionless Accountable RPC Protocol for Blockchain Networks
    Weihong Wang and Tom Van Cutsem
12:00-13:15 | Lunch
13:15-14:45 | Technical Afternoon Sessions 1
DS4AI/ML 1: Sustainable and Efficient Training and Deployment
Megalith 2
Session Chair: TBA
  • #50
    LLMSched: Uncertainty-Aware Workload Scheduling for Compound LLM Applications
    Botao Zhu, Chen Chen, Xiaoyi Fan and Yifei Zhu
  • #85
    Communication-Efficient MoE Fine-Tuning with Locality-Aware Expert Placement
    Chenghao Hu, Yufei Kang and Baochun Li
  • #90
    Shuffle-Exchange: Enhancing Collective Communication Efficiency for Large Model Training
    Zhihang Tang, Chenxi Li, Xiang Yang, Bo He, Qi Qi, Jingyu Wang and Laiping Zhao
  • #157
    GreenFL: Carbon-efficient Federated Learning over RE Powered Edge Computing Systems
    Hanlong Liao, Yu Zhang, Lailong Luo, Deke Guo and Guoming Tang
S&P 1: Attacks and Defense in Collaboration
Megalith 3
Session Chair: TBA
  • #95
    InverCRS: Generative Audio Inversion Attack in Collaborative Recognition Systems
    Xianglong Zhang, Haoming Luo, Mingda Han, Qihao Dong, Guoming Zhang, Yanni Yang, Qianli Li and Pengfei Hu
  • #103
    BEyes: Unseen Eyes Snooping Pattern Lock via BFI
    Hao Chen, Penghao Wang, Feng Hong, Zhongwen Guo and Chao Liu
  • #136
    Too Clever by Half: Detecting Sampling-based Model Stealing Attacks by Their Own Cleverness
    Xin Yao, Chenyang Wang, Yimin Chen, Kecheng Huang, Jiawei Guo and Ming Zhao
  • #203
    HarDTAPE: Hardware Dedicated Trusted transAction Pre-Executor
    Sirui He, Zhibo Sun, Yuan Chen, Yajin Zhou and Cong Wang
Cloud 1: Optimizing Cloud Networking and Systems
Finnieston
Session Chair: TBA
  • #106
    Efficient Serverless Cold Start: Reducing Library Loading Overhead by Profile-guided Optimization
    Syed Salauddin Mohammad Tariq, Ali Al Zein, Soumya Sripad Vaidya, Arati Khanolkar, Zheng Song and Probir Roy
  • #122
    P4CEMaker: automated hardware acceleration of consensus protocols
    Paul Breuil and Baptiste Lepers
  • #212
    PEE: Precise ECN Encoding for Efficient Congestion Control in Data Center Networks
    Changlin Jiang, Yi Wu, Hanling Wang, Feixue Han, Dayi Zhao, Yong Jiang, Gareth Tyson and Qing Li
  • #246
    Octopus: Decentralized Workflow-granular Scheduling for Serverless Workflow
    Keming Wang, Liaoliao Feng, Ligang He, Chenlin Huang, Fengyuan Yu and Tao Xie
14:45-15:15 | Coffee Break
15:15-16:45 | Technical Afternoon Sessions 2
AI/ML 2: Efficient Training and Resource Management
Megalith 2
Session Chair: TBA
  • #456
    Mast: Efficient Training of Mixture-of-Experts Transformers with Task Pipelining and Ordering
    Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Bo Li and Xiaowen Chu
  • #458
    Mitigating Contention in Stream Multiprocessors for Pipelined Mixture of Experts: An SM-Aware Scheduling Approach
    Xinglin Pan, Rui Wang, Wenxaing Lin, Shaohuai Shi and Xiaowen Chu
  • #565
    SimDC: A High-Fidelity Device Simulation Platform for Device-Cloud Collaborative Computing
    Ruiguang Pei, Junjie Wu, Dan Peng, Min Fang, Jianan Zhang, Zhihui Fu and Jun Wang
  • #589
    Congestion Control for Blockchain-enabled SDN in Web 4.0: A Reinforcement Learning Approach through Active Inference
    Chenyang Wang, Xiaoxu Ren, Ying He, Fei Richard Yu and Victor C. M. Leung
IoT&CPS 1: Mobile Agents and Perception in Autonomous Systems
Megalith 3
Session Chair: TBA
  • #98
    U-Mesh: Deploying UAV-Mesh Network for Automatic Powerline Inspection in Remote Areas
    Jieyu Zhou, Feng Lyu, Mingliu Liu, Fan Wu, Lijuan He, Huali Lu, Zaixun Ling and Yibo Cui
  • #109
    CoPe: Taming Collaborative 3D Perception via Lite Network Attention across Mobile Agents
    Shifan Zhang, Hongzi Zhu, Yunzhe Li, Liang Zhang, Shan Chang and Minyi Guo
  • #201
    Saga: Capturing Multi-granularity Semantics from Massive Unlabelled IMU Data for User Perception
    Yunzhe Li, Facheng Hu, Hongzi Zhu, Shifan Zhang, Liang Zhang, Shan Chang and Minyi Guo
  • #214
    mmUAVsense: mmWave Radar-based UAV Detection via Fine-grained Rotary Sensing
    Wenhao Xu, Chuyu Wang, Qiancheng Jin, Yanling Bu, Lei Xie and Sanglu Lu
BC&DB 2: Smart Contracts and Consensus
Finnieston
Session Chair: TBA
  • #339
    Mahi-Mahi: Low-Latency Asynchronous BFT DAG-Based Consensus
    Philipp Jovanovic, Lefteris Kokoris-Kogias, Bryan Kumara, Alberto Sonnino, Pasindu Tennage and Igor Zablotchi
  • #346
    Uncovering Hidden Proxy Smart Contracts for Finding Collision Vulnerabilities in Ethereum
    Cheng-Kang Chen, Wen-Yi Chu, Muoi Tran, Laurent Vanbever and Hsu-Chun Hsiao
  • #443
    Enabling Bitcoin Smart Contracts on the Internet Computer
    Ryan Croote, Islam El-Ashi, Thomas Locher and Yvonne-Anne Pignolet
  • #490
    Lumi: Lightweight Blockchain Layer 2 Protocol from On-chain Coordination
    Xin Wang, Shuhe Cao, Keting Jia, Qidi You and Sisi Duan
16:45-17:00 | Break

Tuesday, July 22, 2025

08:00-09:00
Breakfast (Radisson Blu)
10:00-10:30 | Coffee Break
10:30-12:00 | Technical Morning Sessions 1
DS4AI/ML 2: Distributed Training and Inference
Megalith 2
Session Chair: TBA
  • #194
    SOLB: Synchronization-Objective Load Balancing for Distributed DNN Training
    Jingling Liu, Zixi Wang, Zhong He, Rui Cui, Hao Fang and Jiawei Huang
  • #252
    Demystifying Distributed Training of Graph Neural Networks for Link Prediction
    Xin Huang and Chul-Ho Lee
  • #257
    S2M3: Split-and-Share Multi-Modal Models for Distributed Multi-Task Inference on the Edge
    Jinyi Yoon, Jiho Lee, Ting He, Nakjung Choi and Bo Ji
  • #288
    CAFGD: Reduce Fragmentation in Large-Scale Multi-tenant Clusters for GPU Sharing Workloads
    Huazheng Lao, Rui Xu, Long Chen and Jinquan Zhang
S&P2: Security and Privacy in AI and ML
Megalith 3
Session Chair: TBA
  • #673
    On Securing Data Privacy in Federated Learning Using Noise-assisted Aggregated Multi-Key Homomorphic Encryption
    Yuxiao Ma, Wei Lou and Song Guo
  • #324
    PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
    Lina Wang, Yunsheng Yuan, Chunxiao Wang and Feng Li
  • #427
    Physical Backdoor Attacks against mmWave-based Human Activity Recognition
    Ziqian Bi, Amit Singha, Hongfei Xue, Tao Li, Yimin Chen and Yanchao Zhang
  • #478
    Attributing ChatGPT-Transformed Synthetic Code
    Soohyeon Choi, Ali Alkinoon, Ahod Alghuried, Abdulaziz Alghamdi and David Mohaisen
FT1: Resilience in Distributed Learning and Communication
Finnieston
Session Chair: TBA
  • #140
    RAPIDSCRIBE: Bandwidth-aware Parallel Snapshots for Distributed Neural-Network Training
    Wenxuan Liu, Qihang Chen, Shuotao Xu, Hua Yang, Yuqing Yang and Peng Cheng
  • #305
    ECCheck: Enhancing In-Memory Checkpoint with Erasure Coding in Distributed DNN Training
    Guicheng Qi, Zongpeng Li, Chuan Wu, Zhuwei Peng and Yi Zheng
  • #715
    Exploring Dangerous Graphs with Byzantine Companions
    Giuseppe Antonio Di Luna, Paola Flocchini, Debasish Pattanayak, Francesco Piselli, Giuseppe Prencipe and Nicola Santoro
  • #660
    Bandwidth Optimized Scalable Designs with Inter-Layer Overlapping for MPI Broadcast
    Yi Dai, Qi Zhu, Mingche Lai, Jiaqing Xu, Zhiquan Lai, Bo Yang and Dongsheng Li
Industry 1
Room 4
Session Chair: TBA
  • #192
    Name-based Quality for Name-based Networks
    Ryo Yanagida, Jeremy Singer, Paul Harvey, Leon Wong and Colin Perkins
  • #197
    Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
    Siyoung Jang and Roberto Morabito
  • #64
    Optimizing Telco Networks with Foundation Models: A Scalable Approach for Tabular Data
    Franck Le, Keith Grueneberg, Erich Nahum, Douglas Freimuth and Vadim Sheinin
12:00-13:15 | Lunch
13:15-14:45 | Technical Afternoon Sessions 1
DS4AI/ML 3: Privacy-preserving and Sustainable AI
Megalith 2
Session Chair: TBA
  • #362
    FedLTH: A Privacy-preserving Federated Learning Framework with Model Pruning on Edge Clients
    Heyu Zhang, Yulai Xie, Shengshan Hu, Miao He, Peisong He, Jun Zheng and Dan Feng
  • #501
    Carbon-Neutralizing Edge AI Inference for Data Streams via Model Control and Allowance Trading
    Yining Zhang, Lei Jiao, Konglin Zhu, Yuedong Xu and Lin Zhang
  • #511
    PARDON: Privacy-Aware and Robust Federated Domain Generalization
    Dung Thuy Nguyen, Taylor T. Johnson and Kevin Leach
  • #530
    ACME: Adaptive Customization of Large Models via Distributed Systems
    Ziming Dai, Chao Qiu, Fei Gao, Yunfeng Zhao and Xiaofei Wang
BC&DB 3: Cross-chain and Scalability
Megalith 3
Session Chair: TBA
  • #618
    Tombolo: Towards a Decentralized Interconnected Blockchain Ecosystem using Cross-Chain Payment Channels
    Siddharth Maurya, Nitin Awathare, Vinay Joseph Ribeiro and Umesh Bellur
  • #759
    Fully Decentralized Collection of Attestations for Single-Slot Finality in Ethereum
    Janos Tapolcai and Bence Ladóczki
  • #760
    A Generic Framework for Cross-Chain Atomic Swaps of Digital Tokens
    Janos Tapolcai, Bence Ladóczki and Lajos Rónyai
  • #895
    A Novel Reputation-based Sharding Blockchain System in Edge Sensor Networks
    Jiarui Zhang and Yuanyuan Yang
Cloud 2: Reliable and Secure State Management
Finnieston
Session Chair: TBA
  • #526
    SGX-Enabled Encrypted Cross-Cloud Data Synchronization
    Jia Zhao, Yanjing Ren, Jingwei Li and Patrick P. C. Lee
  • #802
    Practical Considerations for Implementing State Machine Replication in the Cloud
    Zhiying Liang, Vahab Jabrayilov, Abutalib Aghayev and Aleksey Charapko
  • #37
    Spacker: Unified State Migration for Distributed Streaming
    Mao Yancan, Shuhao Zhang and Richard Ma
  • #236
    Asynchronous BFT Consensus Made Wireless
    Shuo Liu, Minghui Xu, Tianyi Sun and Xiuzhen Cheng
Industry 2
Room 4
Session Chair: TBA
  • #30
    Incremental Learning Detection of Distributed Financially Motivated Attacks in Energy Markets
    Ghadeer Alsharif, Christos Anagnostopoulos and Angelos Marnerides
  • #34
    Distributed Quantum Bit-Phase-Flip Error Correction based on CSS Codes and GHZ States
    Shahram Babaie and Chunming Qiao
  • #65
    D-MGN: A Distributed Mesh Graph Neural Network for Scalable Engineering Simulation
    Fu Lin, Jiasheng Shi, Weixiong Rao, Jiachuan Wang, Lei Chen, Chunyan Zhu, Haihua Wang and Suo Xie
  • #66
    Distributed Log-driven Anomaly Detection System based on Evolving Decision Making
    Zhuoran Tan, Qiyuan Wang, Christos Anagnostopoulos, Shameem P. Parambath, Jeremy Singer and Sam Temple
14:45-15:15 | Coffee Break
15:15-16:45
Posters & Demonstrations
Megalith 1

Interactive poster session and live system demonstrations

16:45-17:00 | Break
17:00-18:30 | Technical Afternoon Sessions 2
IoT&CPS 2: Intelligent Computing and Sensing
Megalith 2
Session Chair: TBA
  • #224
    Sdser: Online Deployment and Scheduling of Dynamic DAG Functions with Bayesian Prediction in Serverless Edge Computing
    Wentao Liu, Ruiting Zhou and Yue Ma
  • #226
    BaroAuth: Harnessing Ear Canal Deformation for Speaking User Authentication on Earbuds
    Luo Zhou, Shan Chang, Jiusong Luo, Huixiang Wen, Hongzi Zhu and Li Lu
  • #317
    TSAJS: Efficient Multi-Server Joint Task Scheduling Scheme for Mobile Edge Computing
    Chaoqun Li, Rongsheng Fan, Hesong Wang, Mingda Han, Si Wu, Feng Li and Pengfei Hu
  • #479
    Towards Visual-Inertial Integration: Multi-Modal Collaboration-based Video Stabilization
    Chaoran Li, Yanling Bu and Lei Xie
Edge 2: Edge Intelligence and Distributed Computing
Megalith 3
Session Chair: TBA
  • #444
    Partitioning or Not? Hierarchical Task Offloading Optimization in Collaborative Satellite Edge Computing Networks
    Yan Chen, Haiquan Wang, Jun Liu, Xiaolin Jia, Jiejie Zhao and Han Qiu
  • #459
    HERACLES: Hierarchical Semantic Communications for Distributed Dynamic Sensor Fusion
    Langtian Qin, Yashuo Wu, Sameh Najeh, Marco Levorato and Carla Fabiana Chiasserini
  • #507
    Optimizing WebAssembly Garbage Collection in Go: Performance Insights, Tuning Tips, and Batch Execution Strategies
    Safia Guellil and Marc Sanchez-Artigas
  • #858
    Efficient Partitioning Vision Transformer on Edge Devices for Distributed Inference
    Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang and Jialin Li
Industry 3
Room 4
Session Chair: TBA
  • #51
    Leveraging Federated Learning for Decentralized Semi-Supervised Task-Informed Representation Learning for Sequential Data
    Maximilian Forstenhäusler, Daniel Külzer, Christos Anagnostopoulos, Shameem Puthiya Parambath and Natascha Weber
  • #173
    AutoFairML: An Automated Middleware for Fairness Auditing in Real-world AI Pipelines
    Dimitrios Tomaras, Vana Kalogeraki, Christos Varytimidis, Evangelos Anagnostopoulos, Rahul Nair, Elizabeth M. Daly, Jakub Marecek and Dimitrios Gunopulos
  • #39
    TS-V2X: Trust-Based Safety V2X Middleware for Adaptive Situation Awareness in Autonomous Driving
    Jimin Ryu, Subi Kim, Jieun Kang and Yong Ik Yoon
  • #165
    Unearthing Silent Data: Back to Basics in Process Design
    Jae Sook Cheong and Junseong Bang

Wednesday, July 23, 2025

08:00-09:00
Breakfast (Radisson Blu)
09:00-10:00
Megalith 2 & 3
10:00-10:30 | Coffee Break
10:30-12:00 | Technical Morning Sessions 1
DS4AI/ML 4: Collaborative and Efficient Deep Learning
Megalith 2
Session Chair: TBA
  • #533
    Distributed DNN-based Video Analytics with Adaptive Multi-Device Collaboration
    Zhihao Xu, Maozhe Zhao, Qinya Li, Shengzhong Liu, Fan Wu and Guihai Chen
  • #636
    Rehearsal-free Federated Domain-incremental Learning
    Rui Sun, Haoran Duan, Jiahua Dong, Varun Ojha, Tejal Shah and Rajiv Ranjan
  • #683
    Enhancing In-network Aggregation with Adaptive Gradient Quantization for Multi-tenant Learning
    Huifeng Xing, Yinfan Hu, Hao Wang, Yang Chen, Zixuan Chen, Sen Liu and Yang Xu
  • #700
    Efficient Joint Communication and Computation Placement for Large-scale SNN Simulation on Supercomputers
    Yubing Bao, Zhihui Lu, Xin Du, Qiang Duan, Jirui Yang, Jin Zhao, Geyong Min, Yang Chen, Shijing Hu and Xin Wang
S&P3: Secure and Privacy-Preserving in Federated Learning
Megalith 3
Session Chair: TBA
  • #502
    A Lightweight Secure Aggregation Protocol for Federated Learning Applications
    Elina van Kempen, Qifei Li, Giorgia Azzurra Marson and Claudio Soriente
  • #558
    IB-SC:Simplify Key Management to Enable Quick Start for Short-session Path Validation
    Keji Miao, Xinghai Wei, Dongqi Han, Jie Yuan, Zhen Qin, Qun Li, Haiguang Wang and Tieyan Li
  • #606
    FLdetox: Detoxify Persistent Backdoors in Federated Learning
    Wenjuan Tang, Chenkai Liu, Yutong Jiang, Jianan Zhao and Peng Sun
  • #637
    PP-FCL: Privacy-Preserving Federated Continual Learning via Generative Replay and Incremental Representation Enhancement
    Zaobo He, Yunkun Wang, Zhipeng Cai and Yingshu Li
Alg1: Consensus and Coordination in Distributed Systems
Finnieston
Session Chair: TBA
  • #376
    Shared memory consensus on a ring: Epigenetic Consensus
    Petra Berenbrink, Funda Ergun, Anna Geisler and Yannic Maus
  • #508
    Skip Hash: A Fast Ordered Map Via Software Transactional Memory
    Matthew Rodriguez, Vitaly Aksenov and Michael Spear
  • #559
    Efficient Deterministic Distributed Computing in Ad-Hoc Wireless Networks
    Tomasz Jurdzinski and Dariusz Kowalski
  • #572
    TOB-SVD: Total-Order Broadcast with Single-Vote Decisions in the Sleepy Model
    Francesco D’Amato, Roberto Saltini, Thanh-Hai Tran and Luca Zanolini
Industry 4
Room 4
Session Chair: TBA
  • #176
    Monte Carlo Tree Search for Safe Decision Making at Unsignalized Intersections
    Zhihao Lin, Jianglin Lan, Christos Anagnostopoulos, Zhen Tian and David Flynn
  • #180
    Bringing Serverless Functions Closer To Citizen Science Mobile Applications
    Aleksander Slominski, Pedro Garcia Lopez and Daniel Alejandro Coll Tejeda
  • #68
    GUIDE: GNN-based Unified Incident Detection for Microservices Application Deployments
    Anurag Dutt, Doseok Jang, Joao Nadkarni, Kai Su and Anshul Gandhi
12:00-13:15 | Lunch
13:15-14:45 | Technical Afternoon Sessions 1
DS4AI/ML 5: Inference and Resource Management
Megalith 2
Session Chair: TBA
  • #737
    Wainscot: Tailoring Model Parallelism to Fit Device Memory Limits
    Xiaojuan Ma, Shashwat Jaiswal, Chirag Shetty, Chen-Wei Chou, Kevin Zhang and Indranil Gupta
  • #893
    Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
    Yacine Belal, Mohamed Maouche, Sonia Ben Mokhtar and Anthony Simonet-Boulogne
  • #855
    Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs
    Pranjal Naman and Yogesh Simmhan
  • #928
    MCaM: Efficient LLM Inference with Multi-tier KV Cache Management
    Kexin Chu, Zixu Shen, Sheng-Ru Cheng, Dawei Xiang, Ziqin Liu and Wei Zhang
E&D 1: Smart Infrastructure and Resource Management
Megalith 3
Session Chair: TBA
  • #254
    The Cloud, Like Building and Running Go Binaries
    Diana Arroyo, Paul Castro, Cora Coleman, Thuan Doan, Nick Mitchell, Sara Kokkila-Schumacher, Ed Seabolt, Alek Slominski, Ansu Varghese and Lionel Villard
  • #263
    Smart Blue Light Pole-based Real-Time Crowd Counting for Smart Campuses
    Yitao Chen, Kaiqi Zhao, Krishna Gundu, Zohair Zaidi and Ming Zhao
  • #424
    Space Booking: Enabling Performance-Critical Applications in Broadband Satellite Networks
    Xiaojian Wang, Ruozhou Yu, Dejun Yang, Guoliang Xue, Qiushi Wei, Huayue Gu and Zhouyu Li
  • #473
    Elastic Scheduling for Mix-Flow in Time-Sensitive Networking
    Jiawei Huang, Yifeng Liu, Yiting Wang, Shengwen Zhou, Hui Li, Zhaoyi Li, Yijun Li, Qile Wang, Jishu Tian, Kengchang Chen and Jiacheng Xie
Mobile 1: Intelligent and Secure Mobile Computing
Finnieston
Session Chair: TBA
  • #28
    Weighted Monitoring Interval Minimization for Disaster Surveillance with a UAV
    Wenzheng Xu, Yunrui Cao, Dandan Huang, Weifa Liang, Jianwei Zhang, Tang Liu, Jian Peng, Xiaohua Jia and Zichuan Xu
  • #199
    DiVE: Differential Video Encoding for Online Edge-assisted Video Analytics on Mobile Agents
    Jiangang Shen, Hongzi Zhu, Liang Zhang, Yunzhe Li, Shan Chang and Minyi Guo
  • #322
    Partitioned Collaborative Inference for On-Device Models via Evolutionary Reinforcement Learning
    Lin Tan, Pengzhan Zhou, Songtao Guo, Jun Zhao, Zhufang Kuang, Dewen Qiao and Lu Yang
  • #286
    QuHE: Optimizing Utility-Cost in Quantum Key Distribution and Homomorphic Encryption Enabled Secure Edge Computing Networks
    Liangxin Qian, Yang Li and Jun Zhao
Industry 5
Room 4
Session Chair: TBA
  • #172
    Artificial Intelligence and Radar-Enhanced Audio-Visual Speech Recognition for the Next Generation of Communication Technologies
    Nour Ghadban, Hira Hammed, Elem Miranda, Qammer H. Abbasi, Muhammad Ali Imran, Jonathan Cooper and Julien Le Kernec
  • #63
    Snowpark: Performant, Secure, User-Friendly Data Engineering and AI/ML Next To Your Data
    Brandon Baker, Elliott Brossard, Chenwei Xie, Zihao Ye, Deen Liu, Yijun Xie, Arthur Zwiegincew, Nitya Kumar Sharma, Gaurav Jain, Eugene Retunsky, Mike Halcrow, Derek Denny-Brown, Istvan Cseri, Tyler Akidau and Yuxiong He
  • #174
    Efficient and Safe Planner for Automated Driving on Ramps Considering Unsatisfication
    Qinghao Li, Zhen Tian, Xiaodan Wang, Jinming Yang and Zhihao Lin
  • #175
    Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads
    Qinghao Li, Zhen Tian, Xiaodan Wang, Jinming Yang and Zhihao Lin
  • #746
    Correctness proof for a Ring-Learning-with-Errors Multi-Authority Ciphertext-Policy Attribute-Based Encryption Scheme
    Jack Loughridge, Charuka Herath, Yogachandran Rahulamathavan, Chaminda Hewage, Imtiaz Khan, Lewis Kemp, Simon Bourne and Ali Shahaab
15:15-16:45 | Technical Afternoon Sessions 2
AI/ML 3: Efficient and Secure Federated Learning
Megalith 2
Session Chair: TBA
  • #603
    Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection
    Hongrui Shi, Valentin Radu and Po Yang
  • #709
    FedSU: Communication-efficient Federated Learning with Speculative Updating
    Wei Yu, Chen Chen, Qinbin Li, Jieru Zhao, Shixuan Sun, Bo Li and Minyi Guo
  • #825
    A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
    Phung Lai, Guanxiong Liu, Nhathai Phan, Issa Khalil, Abdallah Khreishah and Xintao Wu
E&D 2: Advanced Management and Distributed Execution
Megalith 3
Session Chair: TBA
  • #545
    Hetero$^2$Pipe: Pipelining Multi-DNN Inference on Heterogeneous Mobile Processors under Co-Execution Slowdown
    Yuhao Shen, Zichen Wang, Tianyi Wang, Chaojie Gu, Zhenyu Wen, Yuanchao Shu and Cong Wang
  • #654
    Arsc: Automated Reconciliation for State Correctness of Cluster Management
    Hongjing Yu, Chaoqun Li, Tao Han and Pengfei Hu
  • #803
    Remote Gate Scheduling in Distributed Quantum Computing
    Xu Xu, Yu Liu, Yingling Mao and Yuanyuan Yang
  • #411
    CloudQC: A Network-aware Framework for Multi-tenant Distributed Quantum Computing
    Ruilin Zhou, Yuhang Gan, Yi Liu and Chen Qian
Alg 2: Efficient and Resilient Distributed Coordination
Finnieston
Session Chair: TBA
  • #594
    Fast Self-Stabilizing Ranking
    Petra Berenbrink, Robert Elsässer, Thorsten Götte, Lukas Hintze and Dominik Kaaser
  • #735
    On the Complexity of Deterministic Distributed Wireless Link Scheduling
    Dariusz Kowalski and Miguel A. Mosteiro
  • #778
    Failure-Aware Tasking for Teams of Drones
    Jonathan Diller, Qi Han, Robert Byers, Yee Shen Teoh, John G. Rogers III and Neil Dantam
  • #902
    Distributed Non-Duplicate Sampling with Application on Network-wide Flow Cardinality Estimation
    Aayush Karki, Zibo Liu, Shigang Chen and Haibo Wang
Industry 6
Room 4
Session Chair: TBA
  • #67
    Performance of Confidential Computing GPUs
    Antonio Martínez Ibarra, Julian James Stephen, Aurora González Vidal, Antonio Fernando Skarmeta Gómez and Kallapalayam Radhakrishnan Jayaram
  • #182
    Optimized Data Transfer Strategies for Forward Command Centres in Distributed Wildfire Management
    Mustafa Al-Bado, Thuy Truong, Michal Sworzeniowski, Deirbhile Healy, Panagiotis Oikonomou and Kolomvatsos Kolomvatsos
  • #184
    Scheduling Inference Workloads in the Computing Continuum with Reinforcement Learning
    Gabriele Castellano, Juan-Jose Nieto, Antonino Angi, Francisco Alvarez Terribas, Jordi Luque, Ferran Diego, Alessio Sacco, Flavio Esposito and Fulvio Risso
  • #200
    Reconfiguration of Applications in Cloud-Edge Multi-clusters
    Marta Patiño-Martinez, Ainhoa Azqueta-Alzuaz and Aitor Agirre
16:45-17:15 | Closing

Thursday, July 24, 2025

Poster Papers

Sunday, July 20 – Wednesday, July 23, 2025 • Megalith 1

#17
Quantum Federated Aggregation using Joint Fidelity-and-Entropy Computation
Seok Bin Son and Soohyun Park
#21
Efficient Fine-tuning of Large Models under 4GB VRAM with Power-saving Strategies
Dong Dong, Mingshu Zhai, Hui Zeng, Chengzhang Wu and Jidong Zhai
#22
Fundamentals of Caching Layered Data objects
Agrim Bari, Gustavo de Veciana and George Kesidis
#23
ACC: Ensuring Eventual Consistency across Diverse Data Stores in End-Cloud Collaboration
Wenbo Zhao, Longhai Li, Hui Li, Mingtao Chen, Mingsong Xie, Yuheng Chang and Jiangtao Cui
#25
FedColab: Federated Collaborative Learning for Teacher-Student Knowledge Distillation
Wenhao Li, Christos Anagnostopoulos and Kevin Bryson
#28
Adaptive Region-aware Video Encoding for Real-time Cloud-edge Collaborative Object Detection
Bingyun Yang, Jingyi Ning, Wenhui Zhou, Chuyu Wang, Lei Xie, Zhenjie Lin and Liming Wang
#29
Convergence Behaviors and Variabilities of Loss Functions in Quantum GANs and GANs
Md Abdur Rahman, Alfredo Cuzzocrea and Hossain Shahriar
#31
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
Di Wu, Weibo He, Wanglei Feng, Zhenyu Wen, Bin Qian and Blesson Varghese
#32
Federated Learning for Privacy-Preserving Anomaly Detection in Electronic Health Record Access Control
Javier Martínez Llamas, Paolo Marcheschi, Stefano Dalmiani, Davy Preuveneers and Wouter Joosen
#33
A Federated Few-shot Learning Siamese Network Framework with Data Label Imbalance
Tahani Aladwani and Christos Anagnostopoulos
#35
Gradient Bandit Experts For Node Selection In Edge Computing
Saleh Abdullah Alfahad, Shameem A Puthiya Parambath, Christos Anagnostopoulos
#36
Federated Quantum Generative Adversarial Network for Intrusion Detection
Franco Cirillo and Christian Esposito
#38
Detection of stealthy attack vectors in networked Industrial Control Systems using Machine Learning
Lazaros Lazarou, Costas Pashiourtides and Angelos K. Marnerides
#41
Unified Parallel Semantic Log Parsing based on Causal Graph Construction for Attack Attribution
Zhuoran Tan, Christos Anagnostopoulos, Shameem P. Parambath, Ke Xiao and Jeremy Singer
#48
Resilient Inference for Personalized Federated Learning in Edge Computing Environments
Ke Xiao, Qiyuan Wang, Christos Anagnostopoulos and Kevin Bryson
#53
Traffic Embedding: Improving the Transferability of Deep Learning Model in Anomaly Detection
Yifei Zhang, Chung-Horng Lung and Zhe Zhang
#171
Causal VAE-DM: Trustworthy Generative Modeling for Image Modification Based on Causal Graphs
Zhaoan Ye, Dezong Zhao, Li Zhang, Wenjing Zhao, David Flynn and Chongfeng Wei
#181
EFaaS: Energy-efficient Function Orchestration in Serverless Edge Computing
Chen Chen, Peiyuan Guan, Luning Li, Pedro Juan Rivera Torres, Roman Kolcun and Richard Mortier
#183
A Fast-Converging Decentralized Approach to the Weighted Minimum Vertex Cover Problem
Matteo Mordacchini, Emanuele Carlini and Patrizio Dazzi
#185
GeNet: A Multimodal LLM-Based Co-Pilot for Network Topology and Configuration
Beni Ifland, Elad Duani, Rubin Krief, Miro Ohana, Aviram Zilberman, Andres Murillo, Ofir Manor, Ortal Lavi, Kenji Hikichi, Asaf Shabtai, Yuval Elovici and Rami Puzis
#186
Efficient Cloud-Edge Fault Diagnosis in High-Speed Trains leveraging Dynamic Neural Inference
Yunpu Wu, Paul Allen, Gareth Tucker, Lai Wei and Lei Xia
#187
HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing
Leyang Xue, Yao Fu, Luo Mai and Mahesh Marina
#188
TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting
Zhihang Yuan, Leyang Xue, Waleed Ahsan and Mahesh K. Marina
#190
LogWF: Anomaly Detection for Distributed Systems Based on Log Workflow Mining
Teng Li, Shengkai Zhang, Yebo Feng, Jiahua Xu, Yaxuan Xie, Wei Qiao and Jianfeng Ma
#191
Adaptive Multiple Workflow Scheduling in Cloud with Execution Uncertainty
Panagiotis Oikonomou, Nikos Tziritas, Mustafa Al-Bado, Thanasis Loukopoulos, Georgios Theodoropoulos and Kostas Kolomvatsos
#193
A Modularized and Greedy Strategy-Based Framework for Enhanced DV-Hop Model
Zhou Zhou, Han Shen and Mohammad Shojafar
#194
P4mCast: Accelerating and Scaling Fault-Tolerant Atomic Multicast in Multi-Cloud Environment
Bochra Boughzala, Boris Koldehofe and Alexander Lazovik
#195
Time-Varying Functional Connectivity for Scalable Observability in Microservice Architectures
Giles Winchester, George Parisis and Luc Berthouze
#196
Web of Things Framework for Remote Health Monitoring of Older Adults
Banani Anuraj, Kirill Dorofeev, Jean-Marie Aerts and Jean-Paul Calbimonte
#198
Towards Efficient Straggler Management in Distributed Deep Learning Training
Suraiya Tairin, Haiying Shen and Anand Iyer
#199
Analysis and Tuning of Knowledge Distillation for Efficient Collaborative Learning
Norah Alballa, Ahmed M. Abdelmoniem and Marco Canini
#339*
Mahi-Mahi: Low-Latency Asynchronous BFT DAG-Based Consensus
Philipp Jovanovic, Lefteris Kokoris-Kogias, Bryan Kumara, Alberto Sonnino, Pasindu Tennage and Igor Zablotchi

Demonstration Papers

#45
Tokenator: A Blockchain-based Platform for Monetizing Wearable Device Data
Polina Bobrova, Artem Karapetian, Pavel Glebov, Viktor, Frolov-Bukanov, Yury Yanovich
#47
FIONA: Detecting Syntactical Outliers in Attributes with Categorical Values
Thanos Tsiamis and Abdulhakim A. Qahtan
#50
SAGkit: A Python SAG Toolkit for Response Time Analysis of Hybrid-Triggered Jobs
Ruide Cao, Zhuyun Qi, Qinyang He, Chenxi Ling, Yi Wang, Guoming Tang
#58
Integrating Cvartel with Hyperledger Fabric for Enhanced Biometric Authentication
Grigory Ivanov, Yash Madhwal, Renat Gubaev, Nikita Loshkarev, Yury Yanovich and Alexander Belenov
#59
Demo: WaterLLMarks: In-data User Tracing for Distributed LLMaaS Environments
Léo Lavaur and Jérôme François
#61
Demo: Decentralized Product Lifecycle Management Using Blockchain and Digital Twins
Ranjit Kannappan, Julien Hatin, Emmanuel Bertin and Noel Crespi