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
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 26 0 0 14 May 2025
Energy-Efficient Federated Learning for AIoT using Clustering Methods Roberto Pereira Fernanda Famá Charalampos Kalalas Paolo Dini 19 0 0 14 May 2025
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang W. Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 26 0 0 11 May 2025
Balancing Client Participation in Federated Learning Using AoI Alireza Javani Zhiying Wang 48 0 0 08 May 2025
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning Sanghyeon Park Soo-Mook Moon 42 0 0 07 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Jiacheng Wang Le Liang Hao Ye Chongtao Guo Shi Jin 42 0 0 06 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices Zhengyi Zhong Weidong Bao Ji Wang Jianguo Chen Lingjuan Lyu Wei Yang Bryan Lim CLL 41 0 0 01 May 2025
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models Bumjun Kim Wan Choi 26 0 0 01 May 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 39 0 0 30 Apr 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging Youngjoon Lee J. Gong Joonhyuk Kang FedML 50 1 0 28 Apr 2025
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Bo Li Y. Song Jin Dong Jianxin Li Philip S. Yu 71 0 0 27 Apr 2025
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction Weijie Liu Ziwei Zhan Carlee Joe-Wong Edith Ngai Jingpu Duan Deke Guo Xu Chen X. Zhang FedML 53 0 0 24 Apr 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 55 20 0 20 Apr 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Chaoyue Niu Yucheng Ding Junhui Lu Zhengxiang Huang Hang Zeng Yutong Dai Xuezhen Tu Chengfei Lv Fan Wu Guihai Chen 27 1 0 17 Apr 2025
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning Phung Lai Xiaopeng Jiang Hai Phan Cristian Borcea K. Tran An M. Chen Vijaya Datta Mayyuri Ruoming Jin FedML MQ 61 0 0 17 Apr 2025
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum Yuan Zhou Xinli Shi Xuelong Li Jiachen Zhong G. Wen Jinde Cao FedML 41 0 0 17 Apr 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data Yuan Zhou Jiachen Zhong Xinli Shi G. Wen Xinghuo Yu FedML 38 0 0 16 Apr 2025
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling Feng Zhu Aritra Mitra Robert W. Heath FedML 36 0 0 15 Apr 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models Gergely Németh Eros Fani Yeat Jeng Ng Barbara Caputo M. Lozano Nuria Oliver Novi Quadrianto FedML 31 0 0 15 Apr 2025
Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning Xianke Qiang Hongda Liu Xinran Zhang Zheng Chang Ying-Chang Liang FedML 39 0 0 12 Apr 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 31 0 0 08 Apr 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 31 0 0 07 Apr 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark Zhekai Zhou Guibo Luo Mingzhi Chen Zhenyu Weng Yuesheng Zhu FedML 26 0 0 07 Apr 2025
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism Shourya Goel Himanshi Tibrewal Anant Jain Anshul Pundhir Pravendra Singh FedML 48 0 0 03 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 39 0 0 02 Apr 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 39 0 0 27 Mar 2025
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 103 0 0 26 Mar 2025
Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks Zubair Shaban Nazreen Shah Ranjitha Prasad 32 0 0 25 Mar 2025
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning Bicheng Ying Zhe Li Haibo Yang FedML 68 0 0 25 Mar 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 66 0 0 24 Mar 2025
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving Yanan Ma Senkang Hu Zhengru Fang Yun Ji Yiqin Deng Yuguang Fang 46 0 0 22 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 42 0 0 20 Mar 2025
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach Vaibhav Rathore S. Bagchi Saikat Dutta Sarthak Mehrotra Zsolt Kira Biplab Banerjee OOD 76 1 0 19 Mar 2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework Erik G. Larsson Nicolo Michelusi 52 0 0 18 Mar 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning Ori Peleg Natalie Lang Stefano Rini Nir Shlezinger Kobi Cohen FedML 48 0 0 17 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 48 0 0 15 Mar 2025
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration Xue Feng M. Paul Laiu Thomas Strohmer FedML 61 0 0 14 Mar 2025
Incentive Analysis for Agent Participation in Federated Learning Lihui Yi Xiaochun Niu Ermin Wei FedML 40 0 0 13 Mar 2025
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition Wei Chen Qiang Qiu FedML 62 0 0 11 Mar 2025
Accelerating MoE Model Inference with Expert Sharding Oana Balmau Anne-Marie Kermarrec Rafael Pires André Loureiro Espírito Santo M. Vos Milos Vujasinovic MoE 64 0 0 11 Mar 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency Duy Phuong Nguyen J. P. Muñoz Tanya Roosta Ali Jannesari FedML 67 0 0 10 Mar 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 44 0 0 08 Mar 2025
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis Yanfei Li Teng Yin Wenyi Shang J. Liu Xi Wang Kaiyang Zhao MedIm 37 0 0 05 Mar 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis Jinwoo Lim Suhyun Kim Soo-Mook Moon FedML 55 0 0 05 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 57 0 0 05 Mar 2025
Multi-Level Collaboration in Model Merging Qi Li Runpeng Yu Xinchao Wang MoMe FedML 91 0 0 03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 68 0 0 01 Mar 2025
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions Youngjoon Lee J. Gong Sun Choi Joonhyuk Kang FedML Presented at ResearchTrend Connect \| FedML on 23 Apr 2025 122 1 0 27 Feb 2025
Optimal Stochastic Trace Estimation in Generative Modeling Xinyang Liu Hengrong Du Wei Deng Ruqi Zhang AI4TS 49 0 0 26 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning Raghav Singhal Kaustubh Ponkshe Rohit Vartak Lav R. Varshney Praneeth Vepakomma FedML 76 0 0 24 Feb 2025