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 / 1,089 papers shown

Title
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 31 6 0 03 Jun 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints Xinmeng Huang Dong-hwan Lee Yan Sun Hamed Hassani 34 3 0 01 Jun 2022
FedAUXfdp: Differentially Private One-Shot Federated Distillation Haley Hoech R. Rischke Karsten Müller Wojciech Samek FedML 24 4 0 30 May 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 28 23 0 30 May 2022
Maximizing Global Model Appeal in Federated Learning Yae Jee Cho Divyansh Jhunjhunwala Tian Li Virginia Smith Gauri Joshi FedML 11 7 0 30 May 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 23 0 27 May 2022
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation Qiyuan Wang Qianqian Yang Shibo He Zhiguo Shi Jiming Chen FedML 37 25 0 27 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 34 75 0 27 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 25 5 0 26 May 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 81 14 0 26 May 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 73 46 0 25 May 2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment Zhiwei Ling Zhihao Yue Jun Xia Ming Hu Ting Wang Mingsong Chen FedML 34 8 0 24 May 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation Tobias Bernecker Annette Peters C. Schlett F. Bamberg Fabian J. Theis Daniel Rueckert J. Weiss Shadi Albarqouni FedML MedIm 35 20 0 23 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 35 8 0 23 May 2022
Service Delay Minimization for Federated Learning over Mobile Devices Rui Chen Dian Shi Xiaoqi Qin Dongjie Liu Miao Pan Shuguang Cui FedML 43 32 0 19 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan Liangqiong Qu Qingyue Wei Shih-Cheng Huang Liyue Shen D. Rubin Lei Xing Yuyin Zhou FedML 78 90 0 17 May 2022
Can We Do Better Than Random Start? The Power of Data Outsourcing Yi Chen Jing-rong Dong Xin T. Tong 14 0 0 17 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 24 44 0 13 May 2022
Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control Haibo Yang Pei-Yuan Qiu Jia Liu Aylin Yener 31 18 0 12 May 2022
Deep Federated Anomaly Detection for Multivariate Time Series Data Wei Zhu Dongjin Song Yuncong Chen Wei Cheng Bo Zong Takehiko Mizoguchi C. Lumezanu Haifeng Chen Jiebo Luo FedML OOD AI4TS 32 5 0 09 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 24 6 0 08 May 2022
Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals Ahmet M. Elbir Sinem Coleri Kumar Vijay Mishra 8 3 0 06 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 27 71 0 05 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 44 73 0 04 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 28 27 0 03 May 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 36 16 0 03 May 2022
Privacy Sensitive Speech Analysis Using Federated Learning to Assess Depression BN Suhas Saeed Abdullah 21 26 0 30 Apr 2022
FedShuffle: Recipes for Better Use of Local Work in Federated Learning Samuel Horváth Maziar Sanjabi Lin Xiao Peter Richtárik Michael G. Rabbat FedML 33 21 0 27 Apr 2022
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective Xinwei Zhang Mingyi Hong N. Elia FedML 21 3 0 27 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 23 9 0 26 Apr 2022
Time-triggered Federated Learning over Wireless Networks Xiaokang Zhou Yansha Deng Huiyun Xia Shaochuan Wu M. Bennis FedML 37 20 0 26 Apr 2022
Federated Stochastic Primal-dual Learning with Differential Privacy Yiwei Li Shuai Wang Tsung-Hui Chang Chong-Yung Chi FedML 19 7 0 26 Apr 2022
Federated Learning via Inexact ADMM Shenglong Zhou Geoffrey Ye Li FedML 24 59 0 22 Apr 2022
Efficient Wireless Federated Learning with Partial Model Aggregation Zhixiong Chen Wenqiang Yi A. Nallanathan Geoffrey Ye Li 47 11 0 20 Apr 2022
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence Zhijie Xie Shenghui Song FedML 25 45 0 18 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning Afsaneh Mahmoudi H. S. Ghadikolaei José Hélio da Cruz Júnior Carlo Fischione 30 9 0 16 Apr 2022
DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup Bingzhe Wu Zhipeng Liang Yuxuan Han Yatao Bian P. Zhao Junzhou Huang OOD FedML 19 3 0 16 Apr 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction Jingyi Xu Zihan Chen Tony Q.S. Quek Kai Fong Ernest Chong FedML 24 85 0 10 Apr 2022
Global Update Guided Federated Learning Qilong Wu Lin Liu Shibei Xue FedML 28 3 0 08 Apr 2022
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 41 156 0 08 Apr 2022
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity Yonghai Gong Yichuan Li N. Freris FedML 16 45 0 07 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 40 11 0 07 Apr 2022
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg Yuhao Zhou M. Shi Yuxin Tian Qing Ye Jiancheng Lv FedML 19 2 0 06 Apr 2022
Differentially Private Federated Learning via Reconfigurable Intelligent Surface Yuhan Yang Yong Zhou Youlong Wu Yuanming Shi 20 25 0 31 Mar 2022
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation Han Wang Siddartha Marella James Anderson FedML 14 39 0 28 Mar 2022
Federated Named Entity Recognition Joel Mathew Dimitris Stripelis J. Ambite FedML 22 1 0 28 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 23 16 0 26 Mar 2022
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point Bhargav Ganguly Seyyedali Hosseinalipour Kwang Taik Kim Christopher G. Brinton Vaneet Aggarwal David J. Love M. Chiang FedML 38 18 0 26 Mar 2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Hipolito Garcia Andre Manoel Daniel Madrigal Diaz Fatemehsadat Mireshghallah Robert Sim Dimitrios Dimitriadis FedML 27 57 0 25 Mar 2022
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing Hung T. Nguyen H. Vincent Poor M. Chiang FedML 20 3 0 23 Mar 2022