FedUV: Uniformity and Variance for Heterogeneous Federated Learning

FedUV: Uniformity and Variance for Heterogeneous Federated Learning

27 February 2024

Tai-Myung Chung

Chao Huang

Xin Liu

Papers citing "FedUV: Uniformity and Variance for Heterogeneous Federated Learning"

18 / 18 papers shown

Title
Federated Learning with Position-Aware Neurons Xin-Chun Li Yi-Chu Xu Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao De-Chuan Zhan FedML 62 34 0 28 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 59 53 0 18 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 74 265 0 17 Mar 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chong Chen FedML 88 161 0 28 Nov 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 79 340 0 09 Jun 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 108 334 0 08 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 273 813 0 15 Feb 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 62 258 0 27 Jan 2021
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 96 556 0 03 Oct 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 55 1,332 0 15 Jul 2020
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 439 42,393 0 03 Dec 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 63 30 0 28 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 138 1,147 0 13 Sep 2019
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 100 385 0 03 Apr 2018
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 138 2,042 0 22 Jun 2017
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 228 10,246 0 27 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 390 17,453 0 17 Feb 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,509 0 01 Sep 2014