Architecture Agnostic Federated Learning for Neural Networks

15 February 2022

Papers citing "Architecture Agnostic Federated Learning for Neural Networks"

9 / 9 papers shown

Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Di Lin FedML 127 1 0 12 Mar 2025
WAFFLE: Weighted Averaging for Personalized Federated Learning Martin Beaussart Felix Grimberg Mary-Anne Hartley Martin Jaggi FedML 55 16 0 13 Oct 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 68 336 0 09 Jun 2021
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 52 260 0 04 Sep 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 47 1,321 0 15 Jul 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 171 183 0 11 May 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 43 262 0 12 Feb 2020
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 85 231 0 12 Oct 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 118 1,410 0 03 Dec 2018