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"

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Title
FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang Shiqiang Wang Songtao Lu Jinghui Chen FedML 34 3 0 25 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 44 0 0 23 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 38 3 0 20 Jul 2024
FedLog: Personalized Federated Classification with Less Communication and More Flexibility Haolin Yu Guojun Zhang Pascal Poupart FedML 27 0 0 11 Jul 2024
FYI: Flip Your Images for Dataset Distillation Byunggwan Son Youngmin Oh Donghyeon Baek Bumsub Ham DD 41 3 0 11 Jul 2024
Federated PCA on Grassmann Manifold for IoT Anomaly Detection Tung-Anh Nguyen Long Tan Le Tuan Dung Nguyen Wei Bao Suranga Seneviratne Choong Seon Hong N. H. Tran 31 7 0 10 Jul 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering Md Sirajul Islam Simin Javaherian Fei Xu Xu Yuan Li Chen Nian-Feng Tzeng FedML 30 3 0 09 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 83 4 0 06 Jul 2024
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent Mohit Kumar Alexander Valentinitsch Magdalena Fuchs Mathias Brucker Juliana Bowles Adnan Husaković Ali Abbas Bernhard A. Moser 21 0 0 05 Jul 2024
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection Jiaxiang Geng Boyu Li Xiaoqi Qin Yixuan Li Liang Li Yanzhao Hou Miao Pan FedML 38 0 0 01 Jul 2024
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation Mahtab Talaei Iman Izadi FedML 24 0 0 26 Jun 2024
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design Linping Qu Yuyi Mao Shenghui Song Chi-Ying Tsui 34 0 0 26 Jun 2024
Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks Fan Dong Henry Leung Steve Drew 30 0 0 25 Jun 2024
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model Feijie Wu Zitao Li Yaliang Li Bolin Ding Jing Gao 34 41 0 25 Jun 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 78 1 0 23 Jun 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions Dhananjay Ram Aditya Rawal Momchil Hardalov Nikolaos Pappas Sheng Zha MoMe 32 1 0 21 Jun 2024
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations Rima Hazra Sayan Layek Somnath Banerjee Soujanya Poria KELM LLMSV 29 6 0 17 Jun 2024
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach Gang Hu Yinglei Teng Nan Wang Zhu Han FedML 27 1 0 14 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated Learning Yuping Yan Yizhi Wang Yingchao Yu Yaochu Jin FedML 21 0 0 14 Jun 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data Jiaojiao Zhang Jiang Hu Anthony Man-Cho So Mikael Johansson 37 2 0 12 Jun 2024
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain Lei Xu Yulong Chen Yuntian Chen Longfeng Nie Xuetao Wei Liang Xue Dongxiao Zhang 25 0 0 07 Jun 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 40 1 0 07 Jun 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 32 0 0 04 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Bo-wen Li FedML 31 3 0 04 Jun 2024
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems Sravan Reddy Chintareddy Keenan Roach Kenny Cheung Morteza Hashemi 21 0 0 03 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 44 4 0 03 Jun 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning Kai Yi Timur Kharisov Igor Sokolov Peter Richtárik FedML 32 2 0 03 Jun 2024
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation Ziyao Liu Yu Jiang Weifeng Jiang Jiale Guo Jun Zhao Kwok-Yan Lam MU FedML 47 6 0 03 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 33 4 0 30 May 2024
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data Ziqing Fan Ruipeng Zhang Jiangchao Yao Bo Han Ya-Qin Zhang Yanfeng Wang FedML 32 12 0 29 May 2024
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization Ziqing Fan Shengchao Hu Jiangchao Yao Gang Niu Ya-Qin Zhang Masashi Sugiyama Yanfeng Wang FedML 44 11 0 29 May 2024
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing Xianke Qiang Zheng Chang Yun Hu Lei Liu Timo Hämäläinen 25 2 0 29 May 2024
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Ling Liu 42 23 0 28 May 2024
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning Zihui Wang Zheng Wang Lingjuan Lyu Zhaopeng Peng Zhicheng Yang Chenglu Wen Rongshan Yu Cheng-i Wang Xiaoliang Fan FedML 35 2 0 28 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen Tianyi Zhou Guodong Long Jie Ma Jing Jiang Chengqi Zhang FedML 43 1 0 26 May 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity Qihao Zhou Haishan Ye Luo Luo 24 0 0 25 May 2024
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning Yunbo Li Jiaping Gui Yue Wu FedML 40 0 0 25 May 2024
CAFe: Cost and Age aware Federated Learning S. Liyanaarachchi Kanchana Thilakarathna S. Ulukus FedML 27 0 0 24 May 2024
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach Chung-Hsuan Hu Zheng Chen Erik G. Larsson 31 2 0 20 May 2024
Fed-Credit: Robust Federated Learning with Credibility Management Jiayan Chen Zhirong Qian Tianhui Meng Xitong Gao Tian-sheng Wang Weijia Jia FedML AAML 33 0 0 20 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 50 6 0 19 May 2024
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays Charikleia Iakovidou Kibaek Kim FedML 35 2 0 16 May 2024
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations Yumeng Shao Jun Li Long Shi Kang Wei Ming Ding Qianmu Li Zengxiang Li Wen Chen Shi Jin FedML 29 0 0 11 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data Rongyu Zhang Yun Chen Chenrui Wu Fangxin Wang Boyan Li 35 12 0 10 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 56 5 0 10 May 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 30 4 0 07 May 2024
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data Shusen Jing Anlan Yu Shuai Zhang Songyang Zhang FedML 31 1 0 07 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 40 1 0 04 May 2024
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection Ahmad Khalil Tizian Dege Pegah Golchin Rostyslav Olshevskyi Antonio Fernández Anta Tobias Meuser FedML 19 1 0 02 May 2024