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Have Your Cake and Eat It Too: Toward Efficient and Accurate Split
  Federated Learning
v1v2 (latest)

Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning

22 November 2023
Dengke Yan
Ming Hu
Zeke Xia
Yanxin Yang
Jun Xia
Xiaofei Xie
Xiao He
    FedML
ArXiv (abs)PDFHTML

Papers citing "Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning"

3 / 3 papers shown
Title
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
Dandan Liang
Jianing Zhang
Evan Chen
Zhe Li
Rui Li
Haibo Yang
FedML
134
0
0
24 Oct 2025
FedQP: Towards Accurate Federated Learning using Quadratic Programming
  Guided Mutation
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided MutationInternational Conference on Software Engineering and Knowledge Engineering (SEKE), 2024
Jiawen Weng
Zeke Xia
Ran Li
Ming Hu
Xiao He
FedML
251
0
0
24 Nov 2024
FedCross: Towards Accurate Federated Learning via Multi-Model
  Cross-Aggregation
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-AggregationIEEE International Conference on Data Engineering (ICDE), 2022
Ming Hu
Peiheng Zhou
Zhihao Yue
Zhiwei Ling
Yihao Huang
Anran Li
Yang Liu
Xiang Lian
Xiao He
FedML
153
28
0
15 Oct 2022
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