Workshops

IEEE ICDCS 2026 are hosting the following workshops (in conjunction with the IEEE ICDCS 2026 main conference), which will be held on June 25, 2026. 

The First International Workshop on Distributed Quantum Computing and Quantum Internet Computing (DisQIC 2026)

Organizers:

Workshop DisQIC 2026 Program: Day 4, June 25 (Thursday), 9:00 – 12:30, Room: Peacock

9:00 – 9:05  Welcoming and introducing invited speaker (by workshop co-organizer Dr. Raymond Wu)

9:05 – 9:45 Invited speaker: Jiwon Yune, Founder and CEO at SDT Inc. (on QuREKA)

Title: The Commercial Quantum Landscape: Hardware Trends and the Path to Distributed Systems

9:45 – 10:30 Paper presentations (15minutes per presenter):

  • Maria Gragera-Garces and Majid Haghparast. Distributed Quantum Circuit Optimisation: Evaluating Global and Local encodings
  • Shusen Liu, Pascal Jahan Elahi and Ugo Varetto. HPC-vQPU: Exporting Device-Aware Quantum Simulation from Batch-Scheduled HPC as an Interactive Service
  • Edric Matwiejew, Pascal Elahi and Ugo Varetto. Distributed Variational Quantum Optimisation via Entanglement-Selective Transport

10:30 – 11:00 Coffee Break

11:00 – 11:45  Paper presentations (15minutes per presenter):

11:45 – 12:30  Discussions (led by Dr. Raymond Wu)


3rd Workshop on Engineering Techniques for Distributed Computing Continuum Systems (EDCCS)

Organizers:

Workshop EDCCS Program: Day 4, June 25 (Thursday), 9:00 – 12:30, Room: Crane

09:00 – 10:30 Session 1: Intelligent Edge Systems and Distributed Resource Management

  • 09:00 – 09:10 Opening Remarks
  • 09:10 – 09:30 Deployment-Aware Causal Root Cause Analysis in Distributed Computing Continuum Systems Zhenghao Wu, Ruihai Dong and Hadi Tabatabaee Malazi
  • 09:30 – 09:50 Multi-Agent Proximal Policy Optimization with Dual Queues for Dynamic Task Offloading in Mobile Edge Computing Zixuan Wang and Mingzhou Yang
  • 09:50 – 10:10 Intent-Based Web Application for Managing SDN Research Clusters Walid Nouicer, Jani Launonen, Lauri Loven and Dinesh Sah
  • 10:10 – 10:30 SpectralShard: Lightweight Partitioning under Dynamic Interaction Patterns Yujin Pang, Clément Burgelin, Antoine Murat and Rachid Guerraoui

10:30 – 11:00 Coffee Break

11:00 – 12:30 Session 2: AI-Driven Continuum Computing and Performance Optimization

  • 11:00 – 11:20 Edge-Native Environmental Sensor Interpretation Using Lightweight Large Language Models Dires Fente and Cassio Prazeres
  • 11:20 – 11:40 Continuum-Aware End–Cloud Offloading for Collaborative Inference Shangyang Wu, Xingwei Wang, Yuhai Zhao, Yingyou Wen, Zhijiang Wang and Cong Wei
  • 11:40 – 12:00 Quantifying Inter-City Network Latency in Europe: A Measurement based Study for Time-Critical Cloud Services Thomas Schleicher, Kurt Horvath, Dragi Kimovski, Bernd Spiess and Oliver Hohlfeld
  • 12:00 – 12:20 Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark Zihang Wang, Boris Sedlak, Juan Luis Herrera and Schahram Dustdar
  • 12:20 – 12:30 Closing Remarks and Next-Year Workshop Plans

Federated Foundation Models at the Edge (FFM@Edge)

Organizers:

Workshop FFM@Edge Program: Day 4, June 25 (Thursday), 8:55 – 11:30, Room: Swan

Invited talk session:

  • 08:55 – 09:00 am Welcome remarks
  • 09:00 – 09:35 am Invited Talk 1: Dr. Yan Gao (Research Scientist at Flower)
  • 09:35 – 10:10 am Invited Talk 2: Dr. Mingyue Ji (Associate Professor at University of Florida)

Paper presentation session:

  • 10:10 – 10:30 am: Pablo Espinosa-Campos, Lucas Liebe, Thanh-Tung Nguyen, Nhat-Quang Tau, Yuheng Wu and Dongman Lee. AdaS-LoRA: Efficient Federated LLM Tuning in Edge Systems by Decoupling Compute and Network
  • 10:30 – 10:50 am: Saul Urso, Emanuele Carlini, Patrizio Dazzi and Matteo Mordacchini. A communication cost model for Federated Mask-Voting
  • 10:50 – 11:10 am: Andy Yuen-Khai Khoo, Yen-Hsun Meng, Cheng-Hou Chou, Chia-Hsuan Wu, Mu-Chun Su and Yi-Zeng Hsieh. Federated Digital Twin-Driven Foundation Models for Energy-Aware Scheduling in Edge Data Centers
  • 11:10 – 11:30 am: Shan Huang, Zhijing Ye, Zhaorui Zhang, Sheng Di, Jiamin Wang, Wendy Hui Wang and Xiaodong Yu. Noise-Calibrated Lossy Compression for Privacy Leakage Reduction in Federated Learning