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 Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning Yavuz Faruk Bakman D. Yaldiz Yahya H. Ezzeldin A. Avestimehr CLL FedML 32 15 0 03 Sep 2023
FedFwd: Federated Learning without Backpropagation Seonghwan Park Dahun Shin Jinseok Chung Namhoon Lee FedML 19 5 0 03 Sep 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 33 2 0 31 Aug 2023
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review Sricharan Donkada Seyedamin Pouriyeh R. Parizi Meng Han N. Dehbozorgi Nazmus Sakib Quan.Z Sheng FedML 25 1 0 26 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee Minchan Jeong Sangmook Kim Jaehoon Oh Se-Young Yun FedML 26 8 0 24 Aug 2023
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation Chao Huang Geng Tian Ming Tang FedML 34 4 0 23 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 21 0 23 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao Song Junze Yin 29 18 0 21 Aug 2023
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations Xinpeng Ling Jie Fu Kuncan Wang Haitao Liu Zhili Chen FedML 39 2 0 21 Aug 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 75 0 21 Aug 2023
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Report Tianyu Qi Yufeng Zhan Peng Li Jingcai Guo Yuanqing Xia FedML 27 12 0 20 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 42 8 0 20 Aug 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction Yu-bao Yan Chun-Mei Feng Yuexiang Li Rick Siow Mong Goh Lei Zhu MedIm 17 2 0 20 Aug 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data Xinting Liao Chaochao Chen Weiming Liu Pengyang Zhou Huabin Zhu Shuheng Shen Weiqiang Wang Mengling Hu Yanchao Tan Xiaolin Zheng FedML 39 6 0 17 Aug 2023
Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang Ping Li Xiaoyun Li 43 198 0 16 Aug 2023
Towards Instance-adaptive Inference for Federated Learning Chunhui Feng Kai Yu Nian Liu Xinxing Xu Salman Khan W. Zuo FedML 39 11 0 11 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 28 20 0 09 Aug 2023
Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning Zhilin Wang Qin Hu Minghui Xu Zeihui Xiong 45 0 0 02 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation Tomàs Ortega Hamid Jafarkhani FedML 33 6 0 01 Aug 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 75 4 0 01 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 24 17 0 30 Jul 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 25 0 0 29 Jul 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning Xinting Liao Weiming Liu Chaochao Chen Pengyang Zhou Huabin Zhu Yanchao Tan Jun Wang Yue Qi FedML 38 11 0 26 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 38 28 0 18 Jul 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning Junjun Nie Danyang Xiao Lei Yang Weigang Wu FedML 33 0 0 17 Jul 2023
DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates Peyman Gholami H. Seferoglu FedML 18 11 0 14 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise Antesh Upadhyay Abolfazl Hashemi 42 9 0 14 Jul 2023
Online Distributed Learning with Quantized Finite-Time Coordination Nicola Bastianello Apostolos I. Rikos Karl H. Johansson FedML 19 2 0 13 Jul 2023
Locally Adaptive Federated Learning Sohom Mukherjee Nicolas Loizou Sebastian U. Stich FedML 21 3 0 12 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 40 12 0 11 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 34 4 0 05 Jul 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 29 17 0 28 Jun 2023
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Le‐Yu Chen Yaohua Ma J.N. Zhang 86 2 0 26 Jun 2023
Medical Federated Model with Mixture of Personalized and Sharing Components Yawei Zhao Qinghe Liu Xinwang Liu K. He FedML OOD 18 2 0 26 Jun 2023
Federated Learning on Non-iid Data via Local and Global Distillation Xiaolin Zheng Senci Ying Fei Zheng Jianwei Yin Longfei Zheng Chaochao Chen Fengqin Dong FedML 40 6 0 26 Jun 2023
FedSampling: A Better Sampling Strategy for Federated Learning Tao Qi Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 20 5 0 25 Jun 2023
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks Lina Magoula Nikolaos Koursioumpas Alexandros-Ioannis Thanopoulos Theodora Panagea Nikolaos Petropouleas M. A. Gutierrez-Estevez R. Khalili 19 3 0 25 Jun 2023
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates Yuchang Sun Yuyi Mao Jinchao Zhang FedML 28 10 0 21 Jun 2023
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation Devya Gurung Shiva Raj Pokhrel Gang Li 35 5 0 20 Jun 2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences Xizixiang Wei Tianhao Wang Ruiquan Huang Cong Shen Jing Yang H. Vincent Poor 43 1 0 14 Jun 2023
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach Yan Huang Jinming Xu 33 2 0 12 Jun 2023
FedDec: Peer-to-peer Aided Federated Learning Marina Costantini Giovanni Neglia T. Spyropoulos FedML 14 1 0 11 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 37 114 0 09 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 16 7 0 09 Jun 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift Vincent Plassier Mehdi Makni Aleksandr Rubashevskii Eric Moulines Maxim Panov FedML 21 15 0 08 Jun 2023
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users Y. Rahulamathavan Charuka Herath Xiaolan Liu S. Lambotharan Carsten Maple 41 12 0 08 Jun 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 31 12 0 08 Jun 2023
Resource Aware Clustering for Tackling the Heterogeneity of Participants in Federated Learning Rahul Mishra Hari Prabhat Gupta Garvit Banga FedML 35 4 0 07 Jun 2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee Shuai Wang Yanqing Xu Yanli Yuan Tony Q.S. Quek FedML 16 8 0 07 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 35 0 0 06 Jun 2023