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 Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 21 6 0 31 Oct 2022
Communication-Efficient Local SGD with Age-Based Worker Selection Feng Zhu Jingjing Zhang Xin Wang 50 1 0 31 Oct 2022
Auxo: Efficient Federated Learning via Scalable Client Clustering Jiachen Liu Fan Lai Yinwei Dai Aditya Akella H. Madhyastha Mosharaf Chowdhury 57 10 0 29 Oct 2022
Fast-Convergent Federated Learning via Cyclic Aggregation Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 36 5 0 29 Oct 2022
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 38 7 0 29 Oct 2022
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity A. Maranjyan M. Safaryan Peter Richtárik 34 13 0 28 Oct 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 36 2 0 28 Oct 2022
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning Yong Xiao Zijian Sun Guangming Shi Dusit Niyato 37 31 0 28 Oct 2022
Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles Md Ferdous Pervej Richeng Jin H. Dai 45 33 0 27 Oct 2022
Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents M. Rostami S. S. Kia FedML 36 8 0 25 Oct 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 24 6 0 25 Oct 2022
Adaptive Top-K in SGD for Communication-Efficient Distributed Learning Mengzhe Ruan Guangfeng Yan Yuanzhang Xiao Linqi Song Weitao Xu 40 3 0 24 Oct 2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lyu Guihai Chen 19 2 0 21 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 52 14 0 18 Oct 2022
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation Ming Hu Peiheng Zhou Zhihao Yue Zhiwei Ling Yihao Huang Anran Li Yang Liu Xiang Lian Mingsong Chen FedML 24 14 0 15 Oct 2022
A Primal-Dual Algorithm for Hybrid Federated Learning Tom Overman Garrett Blum Diego Klabjan FedML 31 7 0 14 Oct 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization Kun Yuan Xinmeng Huang Yiming Chen Xiaohan Zhang Yingya Zhang Pan Pan 34 17 0 14 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 32 22 0 14 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 27 31 0 14 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 30 58 0 10 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems Jiahui Chen Yi Zhao Qi Li Xuewei Feng Ke Xu AAML FedML 27 13 0 08 Oct 2022
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent Yujie Zhou Zhidu Li Tong Tang Ruyang Wang FedML 27 0 0 07 Oct 2022
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization Feng Zhu Jingjing Zhang Xin Wang 33 3 0 06 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 25 8 0 05 Oct 2022
FedMT: Federated Learning with Mixed-type Labels Qiong Zhang Jing Peng Xin Zhang A. Talhouk Gang Niu Xiaoxiao Li FedML 59 0 0 05 Oct 2022
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning Shangchao Su Bin Li Xiangyang Xue FedML 31 1 0 04 Oct 2022
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang Pei-Yuan Qiu Jia Liu FedML 32 12 0 03 Oct 2022
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms Ming Xiang Lili Su FedML 36 2 0 03 Oct 2022
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction Jianyi Zhang Ang Li Minxue Tang Jingwei Sun Xiang Chen Fan Zhang Chang Chen Yiran Chen H. Li FedML 13 42 0 30 Sep 2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization Junjiao Tian James Smith Z. Kira 19 3 0 21 Sep 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 57 4 0 19 Sep 2022
FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices Minxue Tang Jianyi Zhang Mingyuan Ma Louis DiValentin Aolin Ding Amin Hassanzadeh H. Li Yiran Chen FedML 25 0 0 08 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 45 14 0 07 Sep 2022
Federated Zero-Shot Learning for Visual Recognition Zhi Chen Yadan Luo Sen Wang Jingjing Li Zi Huang FedML 24 3 0 05 Sep 2022
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning Rahul Mishra Hari Prabhat Gupta Tanima Dutta Sajal K. Das 13 3 0 03 Sep 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 31 1 0 30 Aug 2022
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs Chaouki Ben Issaid Anis Elgabli M. Bennis FedML OOD 48 4 0 29 Aug 2022
Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge Sara Babakniya Souvik Kundu Saurav Prakash Yue Niu Salman Avestimehr FedML 37 9 0 27 Aug 2022
Tensor Decomposition based Personalized Federated Learning Qing Wang Jing Jin Xiaofeng Liu Huixuan Zong Yunfeng Shao Yinchuan Li FedML 27 3 0 27 Aug 2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization Xue Jiang Sheng Sun Yuwei Wang Min Liu 27 37 0 25 Aug 2022
Exact Penalty Method for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 33 0 0 23 Aug 2022
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals Daniel Gutiérrez Hafiz Muuhammad Hassan Lorella Landi A. Vitaletti I. Chatzigiannakis FedML 19 15 0 23 Aug 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 37 46 0 23 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion Duy Phuong Nguyen Sixing Yu J. P. Muñoz Ali Jannesari FedML 21 12 0 16 Aug 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 50 14 0 16 Aug 2022
FedMR: Fedreated Learning via Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Xian Wei Mingsong Chen FedML 21 0 0 16 Aug 2022
A Fast Blockchain-based Federated Learning Framework with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou FedML 22 23 0 12 Aug 2022
Fast Heterogeneous Federated Learning with Hybrid Client Selection Guangyuan Shen D. Gao Duanxiao Song Libin Yang Xukai Zhou Shirui Pan W. Lou Fang Zhou FedML 45 12 0 10 Aug 2022
Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li Zhao Song Jiaming Yang FedML 27 19 0 07 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 46 90 0 05 Aug 2022