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
Convergence of Federated Learning over a Noisy Downlink M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 8 74 0 25 Aug 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 34 129 0 25 Aug 2020
Federated Learning with Communication Delay in Edge Networks F. Lin Christopher G. Brinton Nicolò Michelusi FedML 10 16 0 21 Aug 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets M. Andreux Jean Ogier du Terrail C. Béguier Eric W. Tramel FedML OOD AI4CE 12 113 0 17 Aug 2020
FLBench: A Benchmark Suite for Federated Learning Yuan Liang Yange Guo Yanxia Gong Chunjie Luo Jianfeng Zhan Yunyou Huang FedML 19 10 0 17 Aug 2020
Heterogeneous Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 31 22 0 15 Aug 2020
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching Farzin Haddadpour Belhal Karimi Ping Li Xiaoyun Li FedML 58 31 0 11 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI Lei Yang Yanyan Lu Jiannong Cao Jiaming Huang Mingjin Zhang 25 20 0 04 Aug 2020
Multi-Level Local SGD for Heterogeneous Hierarchical Networks Timothy Castiglia Anirban Das S. Patterson 23 13 0 27 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 26 192 0 26 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 16 1,297 0 15 Jul 2020
FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma Yi-Cheng Wang FedML 19 11 0 14 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning Wenqi Shi Sheng Zhou Z. Niu Miao Jiang Lu Geng 28 292 0 14 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 26 590 0 09 Jul 2020
Client Adaptation improves Federated Learning with Simulated Non-IID Clients Laura Rieger Rasmus M. Th. Høegh Lars Kai Hansen FedML 27 6 0 09 Jul 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q.S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 55 218 0 05 Jul 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 39 273 0 02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 24 54 0 02 Jul 2020
Federated Mutual Learning T. Shen Jie Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Fei Wu Chao-Xiang Wu FedML 25 120 0 27 Jun 2020
Byzantine-Resilient High-Dimensional Federated Learning Deepesh Data Suhas Diggavi FedML AAML 13 41 0 22 Jun 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu K. Shaloudegi Guojun Zhang Yaoliang Yu FedML 23 89 0 20 Jun 2020
DEED: A General Quantization Scheme for Communication Efficiency in Bits Tian-Chun Ye Peijun Xiao Ruoyu Sun FedML MQ 34 2 0 19 Jun 2020
Federated Learning With Quantized Global Model Updates M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 24 131 0 18 Jun 2020
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 25 171 0 16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 32 162 0 16 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 39 967 0 16 Jun 2020
Optimal Complexity in Decentralized Training Yucheng Lu Christopher De Sa 38 72 0 15 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 30 143 0 12 Jun 2020
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period Shuheng Shen Yifei Cheng Jingchang Liu Linli Xu LRM 24 7 0 11 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 26 836 0 07 Jun 2020
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 24 222 0 05 Jun 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang Mingyi Hong S. Dhople W. Yin Yang Liu FedML 21 227 0 22 May 2020
Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts Surin Ahn Ayfer Özgür Mert Pilanci 13 0 0 21 May 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning Andrew Straiton Hard Kurt Partridge Cameron Nguyen Niranjan A. Subrahmanya Aishanee Shah Pai Zhu Ignacio López Moreno Rajiv Mathews OOD FedML 8 63 0 21 May 2020
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization Navjot Singh Deepesh Data Jemin George Suhas Diggavi 19 55 0 13 May 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 29 40 0 07 May 2020
Differentially Private Federated Learning with Laplacian Smoothing Zhicong Liang Bao Wang Quanquan Gu Stanley Osher Yuan Yao FedML 12 7 0 01 May 2020
Towards Federated Learning With Byzantine-Robust Client Weighting Amit Portnoy Yoav Tirosh Danny Hendler FedML 21 11 0 10 Apr 2020
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 22 348 0 09 Apr 2020
Evaluating the Communication Efficiency in Federated Learning Algorithms Muhammad Asad Ahmed Moustafa Takayuki Ito M. Aslam FedML 6 51 0 06 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 36 193 0 01 Apr 2020
Concentrated Differentially Private and Utility Preserving Federated Learning Rui Hu Yuanxiong Guo Yanmin Gong FedML 38 12 0 30 Mar 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 41 493 0 23 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,709 0 18 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 42 174 0 07 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 20 1,391 0 29 Feb 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 16 63 0 26 Feb 2020