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When to Trust Aggregated Gradients: Addressing Negative Client Sampling
  in Federated Learning

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning

25 January 2023
Wenkai Yang
Yankai Lin
Guangxiang Zhao
Peng Li
Jie Zhou
Xu Sun
    FedML
ArXivPDFHTML

Papers citing "When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning"

2 / 2 papers shown
Title
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
87
945
0
03 Feb 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
162
564
0
27 Jul 2020
1