- Graph Contrastive Learning for Truth Inference
ICDE 2024
H. Liu, J. Liu, F. Tang, Peng Li et al.
- Adaptive Offloading of Transformer Inference for Weak Edge Devices with Masked Autoencoders
ACM Transactions on Sensor Networks
T. Liu, Peng Li, Y. Gu et al.
- Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization
IEEE INFOCOM 2024
T. Qi, Y. Zhan, Peng Li, and Y. Xia
- DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks
ACM SIGMOD 2024
Fahao Chen, Peng Li, and Celimuge Wu
- Hwamei: A Learning-based Aggregation Framework for Hierarchical Federated Learning System
IEEE International Conference on Distributed Computing Systems (ICDCS 2023)
Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo and Yuanqing Xia
- Enabling Efficient Spatio-Temporal GPU Sharing for Network Function Virtualization
IEEE Transactions on Computers
Deze Zeng, Andong Zhu, Lin Gu, Peng Li, Quan Chen, and Minyi Guo
- Scaling Blockchain via Layered Sharding
IEEE Journal on Selected Areas in Communications (JSAC)
Z. Hong, S. Guo and Peng Li
- Learning-based Off-chain Transaction Scheduling in Prioritized Payment Channel Networks
IEEE Journal on Selected Areas in Communications (JSAC)
X. Luo and Peng Li
- TCB: Accelerating Transformer Inference Services with Request Concatenation
51st International Conference on Parallel Processing 2022 (ICPP'22)
Boqian Fu, Fahao Chen, Peng Li, and Deze Zeng
- Hare: Exploiting Inter-job and Intra-job Parallelism of Distributed Machine Learning on Heterogeneous GPUs
ACM Symposium on High-Performance Parallel and Distributed Computing 2022 (HPDC'22)
Fahao Chen, Peng Li, Song Guo, and Celimuge Wu
- FedGraph: Federated Graph Learning with Intelligent Sampling
IEEE Transactions on IEEE Transactions on Parallel and Distributed Systems (TPDS)
Fahao Chen, Peng Li, Toshiaki Miyazaki, and Celimuge Wu
- CYCLE: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
IEEE/IFIP International Conference on Dependable Systems and Networks 2022 (DSN'22)
Z. Hong, S. Guo, R. Zhang, Peng Li, Y. Zhan and W. Chen
- A Survey of Incentive Mechanism Design for Federated Learning
IEEE Transactions on Emerging Topics in Computing (TETC)
Yufeng Zhan, Jie Zhang, Zicong Hong, Leijie Wu, Peng Li, and Song Guo
- Pyramid: A Layered Sharding Blockchain System
IEEE Conference on Computer Communications 2021 (INFOCOM'21)
Zicong Hong, Song Guo, Peng Li, and Wuhui Chen
- Edge-Assisted Short Video Sharing with Guaranteed Quality-of-Experience
IEEE Transactions on Cloud Computing
Fahao Chen, Peng Li, Deze Zeng, and Song Guo
- A Graph Learning based Approach for Identity Inference in DApp Platform Blockchain
IEEE Transactions on Emerging Topics in Computing
Xiao Liu, Zaiyang Tang, Peng Li, Song Guo, Xuepeng Fan, and Jinbo Zhang
- Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning
IEEE International Parallel & Distributed Processing Symposium, 2020 (IPDPS'22)
Yufeng Zhan, Peng Li, and Song Guo
- Secure Balance Planning of Off-blockchain Payment Channel Networks
IEEE Conference on Computer Communications 2020 (INFOCOM'20)
Peng Li, Toshiaki Miyazaki, and Wanlei Zhou
- A Learning-based Incentive Mechanism for Federated Learning
IEEE Internet of Things Journal, 2020
Yufeng Zhan, Peng Li, Zhihao Qu, Deze Zeng and Song Guo
A full publication list can be found at: GoogleScholar or DBLP.
