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
Delay-Aware Hierarchical Federated Learning F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 26 11 0 22 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 30 33 0 19 Mar 2023
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios Bruno Casella Roberto Esposito A. Sciarappa C. Cavazzoni Marco Aldinucci FedML 37 14 0 19 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 24 10 0 12 Mar 2023
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss Tuong Khanh Long Do Binh X. Nguyen Hien Nguyen Erman Tjiputra Quang-Dieu Tran Te-Chuan Chiu A. Nguyen 35 0 0 11 Mar 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Xiucheng Wang Nan Cheng Longfei Ma Ruijin Sun Rong Chai Ning Lu FedML 41 11 0 10 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 28 7 0 08 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 26 10 0 07 Mar 2023
Federated Semi-Supervised Learning with Annotation Heterogeneity Xinyi Shang Gang Huang Yang Lu Jian Lou Bo Han Y. Cheung Hanzi Wang FedML 46 1 0 04 Mar 2023
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices Qiying Pan Yifei Zhu Lingyang Chu FedML 15 10 0 01 Mar 2023
Mitigating Backdoors in Federated Learning with FLD Yi-Wen Lin Pengyuan Zhou Zhiqian Wu Yong Liao FedML 24 2 0 01 Mar 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 40 5 0 01 Mar 2023
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting Kangyang Luo Xiang Li Yunshi Lan Ming Gao FedML 36 33 0 28 Feb 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 29 1 0 27 Feb 2023
Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing Rongxin Xu Shiva Raj Pokhrel Qiujun Lan Gang Li 23 5 0 26 Feb 2023
Regulating Clients' Noise Adding in Federated Learning without Verification Shu Hong Lingjie Duan 14 0 0 24 Feb 2023
FedPDC:Federated Learning for Public Dataset Correction Yu-quan Zhang Yongquan Zhang FedML 16 0 0 24 Feb 2023
Personalized Decentralized Federated Learning with Knowledge Distillation Eunjeong Jeong Marios Kountouris FedML 32 16 0 23 Feb 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 44 14 0 22 Feb 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 58 12 0 21 Feb 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization Nang Hung Nguyen Duc Long Nguyen Trong Bang Nguyen T. Nguyen H. Pham Truong Thao Nguyen Phi Le Nguyen FedML 26 8 0 21 Feb 2023
TAMUNA: Doubly Accelerated Distributed Optimization with Local Training, Compression, and Partial Participation Laurent Condat Ivan Agarský Grigory Malinovsky Peter Richtárik FedML 37 5 0 20 Feb 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 38 34 0 19 Feb 2023
Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks Gang Hu Yinglei Teng Nan Wang F. Yu FedML 27 5 0 17 Feb 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C.H. Ngai Thiemo Voigt FedML AAML 23 53 0 14 Feb 2023
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems Junyi Li Feihu Huang Heng Huang FedML 27 12 0 13 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 26 10 0 13 Feb 2023
FilFL: Client Filtering for Optimized Client Participation in Federated Learning Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini Marco Canini FedML 24 4 0 13 Feb 2023
Communication and Storage Efficient Federated Split Learning Yujia Mu Cong Shen FedML 17 13 0 11 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 32 10 0 09 Feb 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo P. Greengard Hongyi Wang Andrew Gelman Yoon Kim Eric P. Xing FedML 21 20 0 08 Feb 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 44 27 0 06 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 55 46 0 06 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning Xiangrong Zhu Guang-pu Li Wei Hu MU FedML 27 48 0 04 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang Dingfan Chen Raouf Kerkouche Mario Fritz FedML DD 26 4 0 02 Feb 2023
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach Yong Xiao Rong Xia Yingyu Li Guangming Shi Diep N. Nguyen D. Hoang Dusit Niyato Marwan Krunz 29 12 0 01 Feb 2023
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling Yuxi Zhao Xiaowen Gong S. Mao FedML 14 7 0 31 Jan 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature Hao Wu Kai-An Yu Chun-Mei Feng Yiming Qian K. Zou Lianyu Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu OOD 40 1 0 30 Jan 2023
Distributed Stochastic Optimization under a General Variance Condition Kun-Yen Huang Xiao Li Shin-Yi Pu FedML 43 6 0 30 Jan 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 33 9 0 29 Jan 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 36 10 0 28 Jan 2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence Yong Xiao Xiaohan Zhang Guangming Shi Marwan Krunz Diep N. Nguyen D. Hoang 29 15 0 26 Jan 2023
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning Wenkai Yang Yankai Lin Guangxiang Zhao Peng Li Jie Zhou Xu Sun FedML 19 2 0 25 Jan 2023
Accelerating Fair Federated Learning: Adaptive Federated Adam Li Ju Tianru Zhang Salman Toor A. Hellander FedML 19 18 0 23 Jan 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data Shen Chen Guodong Long Tao Shen Jing Jiang AI4TS 33 36 0 22 Jan 2023
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation Huancheng Chen Johnny J. Wang H. Vikalo FedML 18 35 0 21 Jan 2023
ABS: Adaptive Bounded Staleness Converges Faster and Communicates Less Qiao Tan Feng Zhu Jingjing Zhang 55 0 0 21 Jan 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret Sudeep Salgia Qing Zhao T. Gabay Kobi Cohen FedML 32 10 0 21 Jan 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 30 9 0 16 Jan 2023