News!
- 12/5/2023: our paper "Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization" has been accepted by IEEE INFOCOM 2024.
- 9/20/2023: our project " An Environment-Adaptive Giant Model Platform at the Edge, 2023-2027 (環境適応型エッジAIによる巨大モデル利活用基盤, 2023-2027)" has been funded by JST PRESTO (JST さきがけ).
- 8/24/2023: our paper "DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks" has been accepted by ACM SIGMOD 2024. Congratulations to Fahao!
- 4/12/2023: our paper "Hwamei: A Learning-based Aggregation Framework for Hierarchical Federated Learning System" has been accepted by IEEE International Conference on Distributed Computing Systems (ICDCS 2023).
- 6/17/2022: our paper "TCB: Accelerating Transformer Inference Services with Request Concatenation" has been accepted by 51st International Conference on Parallel Processing (ICPP'22).
- 3/30/2022: our paper "Hare: Exploiting Inter-job and Intra-job Parallelism of Distributed Machine Learning on Heterogeneous GPUs" has been accepted by ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'22).
- 3/15/2022: Dr. Li has served as the conference chair of 2022 ACM International Conference on Research in Adaptive and Convergent Systems (RACS’22).
- 3/14/2022: our paper "CYCLE: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing" has been accepted by IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'22).
- 1/11/2021: our paper "FedGraph: Federated Graph Learning with Intelligent Sampling" has been accepted by IEEE Transactions on IEEE Transactions on Parallel and Distributed Systems
- 4/15/2021: our project "Collaborative Information Platform of Federated Learning for Internet-of-Vehicle" has been funded by JSPS KAKENHI-B.
- 3/4/2021: our paper "A Survey of Incentive Mechanism Design for Federated Learning" has been accepted by IEEE Transactions on Emerging Topics in Computing (IF: 6.043)
- 12/8/2020: our paper "Pyramid: A Layered Sharding Blockchain System" has been accepted by IEEE INFOCOM 2021.
- 9/25/2020: our paper "A Graph Learning based Approach for Identity Inference in DApp Platform Blockchain" has been accepted by IEEE Transactions on Emerging Topics in Computing (IF: 6.043).
- 9/15/2020: our paper "Edge Intelligence Empowered Urban Traffic Monitoring: A Network Tomography Perspective" has been accepted by IEEE Transactions on Intelligent Transportation Systems (IF: 6.319).
- 5/11/2020: our paper "A Deep Reinforcement Learning Based Offloading Game in Edge Computing" has been published by IEEE Transactions on Computers.
- 1/23/2020: our paper "A Learning-based Incentive Mechanism for Federated Learning" has been accepted by IEEE Internet of Things Journal.
- Call for Papers: IEEE Open Journal of the Computer Society Special Issue on Federated Learning for 5G-Envisioned Internet of Things are open for submission.
- Our paper "Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning" has been accepted by IEEE IPDPS 2020
- Our paper "Secure Balance Planning of Off-blockchain Payment Channel Networks" has been accepted by IEEE INFOCOM 2020
