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ORCIDYipeng Zhou
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Publications
- 2025
[c72]Wenqi Qiu, Yipeng Zhou, Jinzhi Wang, Quan Z. Sheng, Laizhong Cui:
FLM-TopK: Expediting Federated Large Language Model Tuning by Sparsifying Intervalized Gradients. INFOCOM 2025: 1-10- 2024
- [j81]Dongyuan Su, Yipeng Zhou
, Laizhong Cui, Quan Z. Sheng:
Communication cost-aware client selection in online federated learning: A Lyapunov approach. Comput. Networks 249: 110517 (2024) - [j77]Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng, Yinggui Wang, Song Guo:
Fast-Convergent Wireless Federated Learning: A Voting-Based TopK Model Compression Approach. IEEE J. Sel. Areas Commun. 42(11): 3048-3063 (2024) - [j76]Jiating Ma, Yipeng Zhou, Laizhong Cui, Song Guo:
An Optimized Sparse Response Mechanism for Differentially Private Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(4): 2285-2295 (2024) - [j71]Dongyuan Su, Yipeng Zhou, Laizhong Cui, Song Guo:
Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources. IEEE Trans. Serv. Comput. 17(4): 1400-1413 (2024) - [c61]Xiaoxin Su, Yipeng Zhou, Laizhong Cui, John C. S. Lui, Jiangchuan Liu:
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes. INFOCOM 2024: 601-610 - [c60]Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Song Guo:
Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression. INFOCOM 2024: 1271-1280 - [i34]Xiaoxin Su, Yipeng Zhou, Laizhong Cui, John C. S. Lui, Jiangchuan Liu:
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes. CoRR abs/2402.03770 (2024) - [i33]Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Song Guo:
Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression. CoRR abs/2402.03815 (2024) - [i30]Jiating Ma, Yipeng Zhou, Qi Li, Quan Z. Sheng, Laizhong Cui, Jiangchuan Liu:
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy. CoRR abs/2408.08642 (2024) - [i29]Huitong Jin, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng:
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training. CoRR abs/2408.09478 (2024) - 2023
- [j61]Laizhong Cui, Jiating Ma, Yipeng Zhou, Shui Yu:
Boosting Accuracy of Differentially Private Federated Learning in Industrial IoT With Sparse Responses. IEEE Trans. Ind. Informatics 19(1): 910-920 (2023) - [j60]Laizhong Cui, Erchao Ni, Yipeng Zhou, Zhi Wang, Lei Zhang, Jiangchuan Liu, Yuedong Xu:
Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q-Learning Solution. IEEE Trans. Multim. 25: 302-314 (2023) - [j56]Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Jiangchuan Liu:
On Model Transmission Strategies in Federated Learning With Lossy Communications. IEEE Trans. Parallel Distributed Syst. 34(4): 1173-1185 (2023) - 2022
- [j54]Laizhong Cui, Xiaoxin Su, Zhongxing Ming, Ziteng Chen, Shu Yang, Yipeng Zhou, Wei Xiao:
CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing. IEEE Internet Things J. 9(16): 14151-14161 (2022) - [j51]Laizhong Cui, Xiaoxin Su, Yipeng Zhou:
A Fast Blockchain-Based Federated Learning Framework With Compressed Communications. IEEE J. Sel. Areas Commun. 40(12): 3358-3372 (2022) - [c49]Dongyuan Su, Yipeng Zhou, Laizhong Cui:
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources. ICNP 2022: 1-11 - [c47]Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Jiangchuan Liu:
Optimal Rate Adaption in Federated Learning with Compressed Communications. INFOCOM 2022: 1459-1468 - [i18]Laizhong Cui, Xiaoxin Su, Yipeng Zhou:
A Fast Blockchain-based Federated Learning Framework with Compressed Communications. CoRR abs/2208.06095 (2022) - [i17]Dongyuan Su, Yipeng Zhou, Laizhong Cui:
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources. CoRR abs/2209.01750 (2022) - 2021
- [j41]Laizhong Cui, Ziteng Chen, Shu Yang, Zhongxing Ming, Qi Li, Yipeng Zhou, Shiping Chen, Qinghua Lu:
A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles. IEEE Internet Things J. 8(4): 2395-2408 (2021) - [j37]Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan:
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. IEEE J. Sel. Areas Commun. 39(8): 2572-2589 (2021) - [j35]Laizhong Cui, Dongyuan Su, Yipeng Zhou, Lei Zhang, Yulei Wu, Shiping Chen:
Edge Learning for Surveillance Video Uploading Sharing in Public Transport Systems. IEEE Trans. Intell. Transp. Syst. 22(4): 2274-2285 (2021) - [i10]Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan:
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. CoRR abs/2105.04153 (2021) - [i8]Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Jiangchuan Liu:
Optimal Rate Adaption in Federated Learning with Compressed Communications. CoRR abs/2112.06694 (2021) - 2020
- [c39]Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Lei Zhang:
ClusterGrad: Adaptive Gradient Compression by Clustering in Federated Learning. GLOBECOM 2020: 1-7
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