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Probably Approximately Correct Federated Learning
v1v2v3v4 (latest)

Probably Approximately Correct Federated Learning

10 April 2023
Xiaojin Zhang
Anbu Huang
Lixin Fan
Kai Chen
Qiang Yang
    FedML
ArXiv (abs)PDFHTMLGithub

Papers citing "Probably Approximately Correct Federated Learning"

4 / 4 papers shown
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
Mingcong Xu
Xiaojin Zhang
Wei Chen
Hai Jin
FedML
262
0
0
08 Mar 2025
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off
  in Trustworthy Federated Learning
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning
Xiaojin Zhang
Mingcong Xu
Wei Chen
FedML
286
0
0
05 Jul 2024
Federated Learning with Nonvacuous Generalisation Bounds
Federated Learning with Nonvacuous Generalisation Bounds
Pierre Jobic
Maxime Haddouche
Benjamin Guedj
FedML
299
4
0
17 Oct 2023
Federated PAC-Bayesian Learning on Non-IID data
Federated PAC-Bayesian Learning on Non-IID dataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zihao Zhao
Yang Liu
Wenbo Ding
Xiaoping Zhang
FedML
244
3
0
13 Sep 2023
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