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Publication search results
found 67 matches
- 2024
- Guangjing Huang, Qiong Wu, Peng Sun, Qian Ma, Xu Chen:
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis. IEEE Trans. Parallel Distributed Syst. 35(3): 455-469 (2024) - Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu, Suo Chen:
FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training. IEEE Trans. Parallel Distributed Syst. 35(2): 221-236 (2024) - Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning. IEEE Trans. Parallel Distributed Syst. 35(3): 377-390 (2024) - Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu:
FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval. IEEE Trans. Parallel Distributed Syst. 35(4): 592-603 (2024) - 2023
- Qian Chen, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin:
Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation. IEEE Trans. Parallel Distributed Syst. 34(6): 1923-1941 (2023) - Zhipeng Cheng, Xiaoyu Xia, Minghui Liwang, Xuwei Fan, Yanglong Sun, Xianbin Wang, Lianfen Huang:
CHEESE: Distributed Clustering-Based Hybrid Federated Split Learning Over Edge Networks. IEEE Trans. Parallel Distributed Syst. 34(12): 3174-3191 (2023) - Jie Cui, Hu Sun, Hong Zhong, Jing Zhang, Lu Wei, Irina Bolodurina, Debiao He:
Collaborative Intrusion Detection System for SDVN: A Fairness Federated Deep Learning Approach. IEEE Trans. Parallel Distributed Syst. 34(9): 2512-2528 (2023) - Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao:
Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(4): 1331-1342 (2023) - Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun:
Personalized Edge Intelligence via Federated Self-Knowledge Distillation. IEEE Trans. Parallel Distributed Syst. 34(2): 567-580 (2023) - Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia:
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(3): 923-937 (2023) - Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan:
Federated Learning Over Coupled Graphs. IEEE Trans. Parallel Distributed Syst. 34(4): 1159-1172 (2023) - Yuchen Li, Weifa Liang, Jing Li, Xiuzhen Cheng, Dongxiao Yu, Albert Y. Zomaya, Song Guo:
Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing. IEEE Trans. Parallel Distributed Syst. 34(7): 2138-2154 (2023) - Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(2): 535-551 (2023) - Renhao Lu, Weizhe Zhang, Yan Wang, Qiong Li, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang:
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems. IEEE Trans. Parallel Distributed Syst. 34(4): 1145-1158 (2023) - Jed Mills, Jia Hu, Geyong Min:
Faster Federated Learning With Decaying Number of Local SGD Steps. IEEE Trans. Parallel Distributed Syst. 34(7): 2198-2207 (2023) - N. Jagan Mohan, R. Murugan, Tripti Goel, Parthapratim Roy:
DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images. IEEE Trans. Parallel Distributed Syst. 34(6): 1789-1801 (2023) - Laércio Lima Pilla:
Scheduling Algorithms for Federated Learning With Minimal Energy Consumption. IEEE Trans. Parallel Distributed Syst. 34(4): 1215-1226 (2023) - Rituparna Saha, Sudip Misra, Aishwariya Chakraborty, Chandranath Chatterjee, Pallav Kumar Deb:
Data-Centric Client Selection for Federated Learning Over Distributed Edge Networks. IEEE Trans. Parallel Distributed Syst. 34(2): 675-686 (2023) - 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) - Zhenheng Tang, Shaohuai Shi, Bo Li, Xiaowen Chu:
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. IEEE Trans. Parallel Distributed Syst. 34(3): 909-922 (2023) - Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong:
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(5): 1536-1547 (2023) - Jin Wang, Jia Hu, Jed Mills, Geyong Min, Ming Xia, Nektarios Georgalas:
Federated Ensemble Model-Based Reinforcement Learning in Edge Computing. IEEE Trans. Parallel Distributed Syst. 34(6): 1848-1859 (2023) - Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang:
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association. IEEE Trans. Parallel Distributed Syst. 34(5): 1560-1579 (2023) - Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34(5): 1548-1559 (2023) - Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple:
FedProf: Selective Federated Learning Based on Distributional Representation Profiling. IEEE Trans. Parallel Distributed Syst. 34(6): 1942-1953 (2023) - Zichuan Xu, Dapeng Zhao, Weifa Liang, Omer F. Rana, Pan Zhou, Mingchu Li, Wenzheng Xu, Hao Li, Qiufen Xia:
HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing. IEEE Trans. Parallel Distributed Syst. 34(1): 328-345 (2023) - Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Albert Y. Zomaya:
Hierarchical Federated Learning With Momentum Acceleration in Multi-Tier Networks. IEEE Trans. Parallel Distributed Syst. 34(10): 2629-2641 (2023) - Yu Zhang, Duo Liu, Moming Duan, Li Li, Xianzhang Chen, Ao Ren, Yujuan Tan, Chengliang Wang:
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. IEEE Trans. Parallel Distributed Syst. 34(3): 1007-1019 (2023) - 2022
- Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng:
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee. IEEE Trans. Parallel Distributed Syst. 33(12): 4783-4800 (2022) - Fahao Chen, Peng Li, Toshiaki Miyazaki, Celimuge Wu:
FedGraph: Federated Graph Learning With Intelligent Sampling. IEEE Trans. Parallel Distributed Syst. 33(8): 1775-1786 (2022)
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