On the Convergence of FedAvg on Non-IID Data

4 July 2019

Xiang Li

Kaixuan Huang

Wenhao Yang

Papers citing "On the Convergence of FedAvg on Non-IID Data"

50 / 1,086 papers shown

Title
Federated Learning under Heterogeneous and Correlated Client Availability Angelo Rodio Francescomaria Faticanti Othmane Marfoq Giovanni Neglia Emilio Leonardi FedML 18 27 0 11 Jan 2023
Why Batch Normalization Damage Federated Learning on Non-IID Data? Yanmeng Wang Qingjiang Shi Tsung-Hui Chang FedML 18 33 0 08 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 31 12 0 04 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 33 12 0 03 Jan 2023
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework Jiayun Zhang Xiyuan Zhang Xinyang Zhang Dezhi Hong Rajesh K. Gupta Jingbo Shang FedML 62 7 0 01 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 22 18 0 29 Dec 2022
Can 5th Generation Local Training Methods Support Client Sampling? Yes! Michal Grudzieñ Grigory Malinovsky Peter Richtárik 29 29 0 29 Dec 2022
LOCKS: User Differentially Private and Federated Optimal Client Sampling Ajinkya Mulay FedML 26 0 0 26 Dec 2022
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments Ayano Nakai-Kasai T. Wadayama FedML 27 0 0 23 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 27 1 0 23 Dec 2022
Dataless Knowledge Fusion by Merging Weights of Language Models Xisen Jin Xiang Ren Daniel Preotiuc-Pietro Pengxiang Cheng FedML MoMe 24 214 0 19 Dec 2022
Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning Zhida Jiang Yang Xu Hong-Ze Xu Zhiyuan Wang Chen Qian 20 9 0 19 Dec 2022
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 30 17 0 16 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks Chung-Hsuan Hu Zheng Chen Erik G. Larsson 27 64 0 14 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan Yanfeng Wang Jiangchao Yao Lingjuan Lyu Ya Zhang Qinghua Tian FedML 21 20 0 14 Dec 2022
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO Houssem Sifaou Geoffrey Ye Li 45 12 0 13 Dec 2022
Client Selection for Federated Bayesian Learning Jiarong Yang Yuan Liu Rahif Kassab FedML 41 11 0 11 Dec 2022
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles Bowen Xie Yuxuan Sun Sheng Zhou Z. Niu Yang Xu Jingran Chen Deniz Gündüz 17 11 0 07 Dec 2022
Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning F. Malandrino C. Chiasserini FedML 22 0 0 05 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou Jun Huang AAML FedML 34 0 0 05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 26 18 0 04 Dec 2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding Won Joon Yun Jae Pyoung Kim Hankyul Baek Soyi Jung Jihong Park M. Bennis Joongheon Kim 34 4 0 04 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 42 7 0 03 Dec 2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Shuai Wang Yanqing Xu Zihan Wang Tsung-Hui Chang Tony Q.S. Quek Defeng Sun FedML 35 9 0 03 Dec 2022
Matching DNN Compression and Cooperative Training with Resources and Data Availability F. Malandrino G. Giacomo Armin Karamzade Marco Levorato C. Chiasserini 45 9 0 02 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning Young Geun Kim Carole-Jean Wu FedML 22 5 0 30 Nov 2022
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression Xiaoyun Li Ping Li FedML 34 4 0 25 Nov 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Zihan Wang Xiaoliang Fan Jianzhong Qi Haibing Jin Peizhen Yang Siqi Shen Cheng-i Wang FedML 34 13 0 25 Nov 2022
Federated Learning Hyper-Parameter Tuning from a System Perspective Huan Zhang Lei Fu Mi Zhang Pengfei Hu Xiuzhen Cheng P. Mohapatra Xin Liu FedML 21 7 0 24 Nov 2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 38 24 0 24 Nov 2022
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization Yann Fraboni Martin Van Waerebeke Kevin Scaman Richard Vidal Laetitia Kameni Marco Lorenzi FedML MU 15 14 0 21 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 39 26 0 20 Nov 2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data Ming Yang Yanhan Wang Xin Wang Zhenyong Zhang Xiaoming Wu Peng Cheng FedML 34 1 0 17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning Qianling Guo Yong Qi Saiyu Qi Di Wu FedML 29 5 0 16 Nov 2022
Adaptive Federated Minimax Optimization with Lower Complexities Feihu Huang Xinrui Wang Junyi Li Songcan Chen FedML 13 5 0 14 Nov 2022
Universal EHR Federated Learning Framework Junu Kim Kyunghoon Hur Seongjun Yang Edward Choi FedML 21 2 0 14 Nov 2022
FedRule: Federated Rule Recommendation System with Graph Neural Networks Yuhang Yao Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen Carlee Joe-Wong Tianqiang Liu 17 17 0 13 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide Alessio Mora Irene Tenison Paolo Bellavista Irina Rish FedML 25 17 0 09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 40 7 0 08 Nov 2022
FedGrad: Optimisation in Decentralised Machine Learning Mann Patel FedML 14 0 0 07 Nov 2022
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning Hongrui Shi Valentin Radu Po Yang FedML 15 1 0 07 Nov 2022
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 29 2 0 07 Nov 2022
Federated Multilingual Models for Medical Transcript Analysis Andre Manoel Mirian Hipolito Garcia Tal Baumel Shize Su Jialei Chen Dan Miller D. Karmon Robert Sim Dimitrios Dimitriadis 22 13 0 04 Nov 2022
Federated Hypergradient Descent A. K. Kan FedML 37 3 0 03 Nov 2022
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization Feihu Huang FedML 20 1 0 03 Nov 2022
A Convergence Theory for Federated Average: Beyond Smoothness Xiaoxiao Li Zhao Song Runzhou Tao Guangyi Zhang FedML 32 5 0 03 Nov 2022
Fast Adaptive Federated Bilevel Optimization Feihu Huang FedML 20 7 0 02 Nov 2022