Federated Learning under Covariate Shifts with Generalization Guarantees

8 June 2023

Papers citing "Federated Learning under Covariate Shifts with Generalization Guarantees"

8 / 8 papers shown

Title
Addressing Label Shift in Distributed Learning via Entropy Regularization Zhiyuan Wu Changkyu Choi Xiangcheng Cao V. Cevher Ali Ramezani-Kebrya 81 0 0 04 Feb 2025
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 42 0 0 06 Nov 2024
Training on Test Data with Bayesian Adaptation for Covariate Shift Aurick Zhou Sergey Levine OOD TTA 50 13 0 27 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization Ali Ramezani-Kebrya Fartash Faghri Ilya Markov V. Aksenov Dan Alistarh Daniel M. Roy MQ 65 30 0 28 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Deep Visual Domain Adaptation G. Csurka OOD 141 185 0 28 Dec 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015