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FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
v1v2 (latest)

FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning

International Conference on Information and Knowledge Management (CIKM), 2022
3 May 2022
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
ArXiv (abs)PDFHTML

Papers citing "FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning"

2 / 2 papers shown
Federated Learning with Extremely Noisy Clients via Negative
  Distillation
Federated Learning with Extremely Noisy Clients via Negative Distillation
Yang Lu
Lin Chen
Yonggang Zhang
Yiliang Zhang
Bo Han
Yiu-ming Cheung
Hanzi Wang
FedML
290
21
0
20 Dec 2023
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy
  Labels
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Jichang Li
Guanbin Li
Hui Cheng
Zicheng Liao
Yizhou Yu
FedML
273
28
0
19 Dec 2023
1
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