Federated Noisy Client Learning

Federated Noisy Client Learning

24 June 2021

Li Li

Bo Han

Papers citing "Federated Noisy Client Learning"

13 / 13 papers shown

Title
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 48 1 0 11 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning Chunlin Tian Zhanying Shi Xinpeng Qin Li Li Chengzhong Xu FedML 25 2 0 07 May 2024
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 30 1 0 11 Oct 2023
SplitFed resilience to packet loss: Where to split, that is the question C. Shiranthika Zahra Hafezi Kafshgari Parvaneh Saeedi Ivan V. Bajić 30 2 0 25 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Quantifying the Impact of Label Noise on Federated Learning Shuqi Ke Chao Huang Xin Liu FedML 28 7 0 15 Nov 2022
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning Rahul Mishra Hari Prabhat Gupta Tanima Dutta Sajal K. Das 11 3 0 03 Sep 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Dinesh Manocha Guodong Long Bo Han Jing Jiang FedML 27 19 0 20 May 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao Huazhu Fu Li Li Yingwen Chen Minghua Xu Chengzhong Xu FedML 40 242 0 22 Mar 2022
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 25 6 0 26 Nov 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,709 0 18 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018