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
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 30 7 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo Haotian Gu Xiaoyang Wang Bo Chen Eun Kyung Lee Tamar Eilam Deming Chen K. Nahrstedt FedML 29 1 0 31 Jan 2024
Decomposable Submodular Maximization in Federated Setting Akbar Rafiey FedML 30 1 0 31 Jan 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 35 0 0 29 Jan 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers Alexandros E. Tzikas Licio Romao Mert Pilanci Alessandro Abate Mykel J. Kochenderfer 34 0 0 29 Jan 2024
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning Chenyu Zhang Han Wang Aritra Mitra James Anderson 34 18 0 27 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 46 1 0 23 Jan 2024
Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning Jiyuan Shen Wenzhuo Yang Zhaowei Chu Jiani Fan Dusit Niyato Kwok-Yan Lam FedML 27 6 0 22 Jan 2024
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 40 7 0 18 Jan 2024
HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing Min Quan Dinh C. Nguyen Van-Dinh Nguyen M. Wijayasundara S. Setunge P. Pathirana 20 3 0 16 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
Joint Probability Selection and Power Allocation for Federated Learning Ouiame Marnissi Hajar Elhammouti El Houcine Bergou FedML 16 2 0 15 Jan 2024
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality Biwei Yan Hongliang Zhang Minghui Xu Dongxiao Yu Xiuzhen Cheng 44 5 0 15 Jan 2024
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting Shuyao Zhang Jordan Tay Pedro Baiz FedML 35 1 0 14 Jan 2024
Gradient Coreset for Federated Learning D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 34 1 0 13 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 19 11 0 10 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 37 1 0 04 Jan 2024
FedQV: Leveraging Quadratic Voting in Federated Learning Tianyue Chu Nikolaos Laoutaris FedML 29 2 0 02 Jan 2024
Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM Mohamed Elmahallawy Tie-Mei Luo Khaled Ramadan 18 5 0 01 Jan 2024
LEFL: Low Entropy Client Sampling in Federated Learning Waqwoya Abebe J. P. Muñoz Ali Jannesari FedML 17 0 0 29 Dec 2023
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 21 0 0 26 Dec 2023
Federated Hyperdimensional Computing Kazim Ergun Rishikanth Chandrasekaran Tajana Simunic FedML 15 0 0 26 Dec 2023
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms Sofia Zahri Hajar Bennouri A. Abdelmoniem FedML 16 1 0 24 Dec 2023
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading Dong-Jun Han Seyyedali Hosseinalipour David J. Love Mung Chiang Christopher G. Brinton FedML 26 11 0 23 Dec 2023
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 41 11 0 23 Dec 2023
Personalized Federated Learning with Attention-based Client Selection Zihan Chen Wenlin Yao Cong Shen FedML 32 8 0 23 Dec 2023
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity Yiyue Chen H. Vikalo C. Wang FedML 41 5 0 20 Dec 2023
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization Pengchao Han Shiqiang Wang Yang Jiao Jianwei Huang FedML 19 5 0 20 Dec 2023
On the Role of Server Momentum in Federated Learning Jianhui Sun Xidong Wu Heng-Chiao Huang Aidong Zhang FedML 60 11 0 19 Dec 2023
Online Vertical Federated Learning for Cooperative Spectrum Sensing Heqiang Wang Jie Xu 26 3 0 18 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong Gang Yan Shiqiang Wang Jian Li 34 5 0 17 Dec 2023
Kimad: Adaptive Gradient Compression with Bandwidth Awareness Jihao Xin Ivan Ilin Shunkang Zhang Marco Canini Peter Richtárik 34 2 0 13 Dec 2023
Language-Guided Transformer for Federated Multi-Label Classification I-Jieh Liu Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 34 4 0 12 Dec 2023
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights Ke Hu Weidong Qiu Peng Tang 30 0 0 12 Dec 2023
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes Zhen Qin Daoyuan Chen Bingchen Qian Bolin Ding Yaliang Li Shuiguang Deng FedML 37 32 0 11 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao Yue Liu Bingsheng He FedML 22 16 0 11 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 36 5 0 10 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 19 2 0 10 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach Seyed Mahmoud Sajjadi Mohammadabadi Syed Zawad Feng Yan Lei Yang FedML 27 7 0 09 Dec 2023
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 27 3 0 09 Dec 2023
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity Lorenzo Valerio C. Boldrini A. Passarella János Kertész Márton Karsai Gerardo Iniguez FedML 27 5 0 07 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data Feifei Wang Huiyun Tang Yang Li FedML 27 0 0 07 Dec 2023
Can We Learn Communication-Efficient Optimizers? Charles-Étienne Joseph Benjamin Thérien A. Moudgil Boris Knyazev Eugene Belilovsky 40 1 0 02 Dec 2023
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 47 1 0 30 Nov 2023
Communication-Efficient Federated Optimization over Semi-Decentralized Networks He Wang Yuejie Chi FedML 29 2 0 30 Nov 2023
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices Huancheng Chen H. Vikalo FedML MQ 16 7 0 29 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 42 19 0 27 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 73 33 0 25 Nov 2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning Seongyoon Kim Gihun Lee Jaehoon Oh Se-Young Yun 25 2 0 22 Nov 2023