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
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning Nang Hung Nguyen Phi Le Nguyen D. Nguyen Trung Thanh Nguyen Thuy-Dung Nguyen H. Pham Truong Thao Nguyen FedML 67 24 0 04 Aug 2022
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala Pranay Sharma Aushim Nagarkatti Gauri Joshi FedML 52 58 0 28 Jul 2022
CFLIT: Coexisting Federated Learning and Information Transfer Zehong Lin Hang Liu Y. Zhang 14 11 0 26 Jul 2022
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective Guangjing Huang Xu Chen Ouyang Tao Qian Ma Lin Chen Junshan Zhang FedML 19 30 0 25 Jul 2022
Distributed Robust Principal Component Analysis Wen-Hsuan Chu 10 0 0 24 Jul 2022
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion Xu Zhou Xinyu Lei Cong Yang Yichun Shi Xiao Zhang Jin-Yang Shi FedML 33 0 0 23 Jul 2022
Slimmable Quantum Federated Learning Won Joon Yun Jae Pyoung Kim Soyi Jung Jihong Park M. Bennis Joongheon Kim 15 27 0 20 Jul 2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 23 27 0 19 Jul 2022
Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update H. Nguyen Lam Phan Harikrishna Warrier Yogesh Gupta FedML 16 5 0 18 Jul 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning Yajie Bao M. Crawshaw Sha Luo Mingrui Liu FedML 42 16 0 17 Jul 2022
Multi-Level Branched Regularization for Federated Learning Jinkyu Kim Geeho Kim Bohyung Han FedML 27 53 0 14 Jul 2022
FedSS: Federated Learning with Smart Selection of clients Ammar Tahir Yongzhou Chen Prashanti Nilayam FedML 13 4 0 10 Jul 2022
Multi-Model Federated Learning with Provable Guarantees Neelkamal Bhuyan Sharayu Moharir Gauri Joshi FedML 32 14 0 09 Jul 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology Yan Huang Ying Sun Zehan Zhu Changzhi Yan Jinming Xu FedML 30 15 0 08 Jul 2022
A Survey on Participant Selection for Federated Learning in Mobile Networks Behnaz Soltani Venus Haghighi A. Mahmood Quan.Z Sheng Lina Yao FedML 36 25 0 08 Jul 2022
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data Yousef Yeganeh Azade Farshad Johannes Boschmann Richard Gaus Maximilian Frantzen Nassir Navab FedML OOD 29 2 0 07 Jul 2022
Towards the Practical Utility of Federated Learning in the Medical Domain Seongjun Yang Hyeonji Hwang Daeyoung Kim Radhika Dua Jong-Yeup Kim Eunho Yang Edward Choi FedML OOD 21 16 0 07 Jul 2022
FedHeN: Federated Learning in Heterogeneous Networks D. A. E. Acar Venkatesh Saligrama FedML 16 1 0 07 Jul 2022
Cross-domain Federated Object Detection Shangchao Su Bin Li Chengzhi Zhang Min Yang Xiangyang Xue FedML 29 8 0 30 Jun 2022
AFAFed -- Protocol analysis E. Baccarelli M. Scarpiniti Alireza Momenzadeh S. S. Ahrabi FedML 4 0 0 29 Jun 2022
An Empirical Study of Personalized Federated Learning Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka OOD FedML 27 6 0 27 Jun 2022
FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning Rongxin Xu Shiva Raj Pokhrel Qiujun Lan Gang Li 19 7 0 26 Jun 2022
FEATHERS: Federated Architecture and Hyperparameter Search Jonas Seng P. Prasad Martin Mundt Devendra Singh Dhami Kristian Kersting FedML 55 3 0 24 Jun 2022
On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen Cheng-Hao Tu Zi-hua Li Hang Shen Wei-Lun Chao FedML 22 78 0 23 Jun 2022
How to Combine Variational Bayesian Networks in Federated Learning Atahan Ozer Kadir Burak Buldu Abdullah Akgul Gözde B. Ünal FedML 33 5 0 22 Jun 2022
Federated Latent Class Regression for Hierarchical Data Bin Yang T. Carette Masanobu Jimbo Shinya Maruyama FedML 20 0 0 22 Jun 2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity Guang-Ming Li Yue Hu Miao Zhang Ji Liu Quanjun Yin Yong Peng Dejing Dou FedML 19 39 0 21 Jun 2022
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 27 24 0 21 Jun 2022
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation Artur Back de Luca Guojun Zhang Xi Chen Yaoliang Yu FedML 24 30 0 20 Jun 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm Xinteng Ma Renyi Bao Jinpeng Jiang Yang Liu Arthur Jiang Junhua Yan Xin Liu Zhisong Pan FedML 32 6 0 20 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Bo-wen Li FedML 27 24 0 18 Jun 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 40 44 0 18 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 22 53 0 16 Jun 2022
Federated Data Analytics: A Study on Linear Models Xubo Yue Raed Al Kontar Ana María Estrada Gómez FedML 29 12 0 15 Jun 2022
Anchor Sampling for Federated Learning with Partial Client Participation Feijie Wu Song Guo Zhihao Qu Shiqi He Ziming Liu Jing Gao FedML 36 12 0 13 Jun 2022
Federated Learning on Riemannian Manifolds Jiaxiang Li Shiqian Ma FedML 15 13 0 12 Jun 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 37 12 0 10 Jun 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiao-Tong Yuan P. Li FedML 20 59 0 10 Jun 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream Susik Yoon Youngjun Lee Jae-Gil Lee Byung Suk Lee 18 22 0 09 Jun 2022
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying Jieming Bian Jie Xu FedML 31 6 0 09 Jun 2022
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data Jianyu Wang Rudrajit Das Gauri Joshi Satyen Kale Zheng Xu Tong Zhang FedML 34 38 0 09 Jun 2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 10 17 0 08 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 44 6 0 06 Jun 2022
FedNST: Federated Noisy Student Training for Automatic Speech Recognition Haaris Mehmood A. Dobrowolska Karthikeyan P. Saravanan Mete Ozay 24 7 0 06 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 35 131 0 06 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 31 12 0 06 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinfu He Bo Han Xiaowen Chu FedML 38 73 0 06 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 29 6 0 03 Jun 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints Xinmeng Huang Dong-hwan Lee Yan Sun Hamed Hassani 34 3 0 01 Jun 2022
FedAUXfdp: Differentially Private One-Shot Federated Distillation Haley Hoech R. Rischke Karsten Müller Wojciech Samek FedML 24 4 0 30 May 2022