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Probably Approximately Correct Federated Learning
10 April 2023
Xiaojin Zhang
Anbu Huang
Lixin Fan
Kai Chen
Qiang Yang
FedML
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Papers citing
"Probably Approximately Correct Federated Learning"
4 / 4 papers shown
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
Xiaojin Zhang
Mingcong Xu
Wei Chen
FedML
286
0
0
05 Jul 2024
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
IEEE 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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