Novel clustered federated learning based on local loss

Novel clustered federated learning based on local loss

12 July 2024

Papers citing "Novel clustered federated learning based on local loss"

9 / 9 papers shown

Title
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 190 184 0 11 May 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 131 574 0 25 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 183 6,229 0 10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 349 42,299 0 03 Dec 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 89 996 0 23 Jul 2019
Robust Federated Learning in a Heterogeneous Environment Avishek Ghosh Justin Hong Dong Yin Kannan Ramchandran OOD FedML 53 216 0 16 Jun 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 134 1,417 0 03 Dec 2018
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 124 1,895 0 08 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 375 17,399 0 17 Feb 2016

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