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"

50 / 1,085 papers shown

Title
Cost-Effective Federated Learning Design Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 11 177 0 15 Dec 2020
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski A. H. Sayed FedML 13 52 0 14 Dec 2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg Yuhao Zhou Qing Ye Jiancheng Lv FedML 16 122 0 12 Dec 2020
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo Heiko Ludwig FedML 12 22 0 11 Dec 2020
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi E. Hossain FedML 51 82 0 09 Dec 2020
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping Jin-Woo Lee Jaehoon Oh Yooju Shin Jae-Gil Lee Seyoul Yoon FedML 78 16 0 09 Dec 2020
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun Ang Li Binghui Wang Huanrui Yang Hai Li Yiran Chen FedML 19 163 0 08 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 85 115 0 08 Dec 2020
Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das Anish Acharya Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu FedML 29 82 0 07 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 28 139 0 07 Dec 2020
FedSiam: Towards Adaptive Federated Semi-Supervised Learning Zewei Long Liwei Che Yaqing Wang Muchao Ye Junyu Luo Jinze Wu Houping Xiao Fenglong Ma FedML 26 16 0 06 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits Taehyeon Kim Sangmin Bae Jin-woo Lee Se-Young Yun FedML 21 15 0 06 Dec 2020
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture Jin-Woo Lee Jaehoon Oh Sungsu Lim Se-Young Yun Jae-Gil Lee FedML 25 32 0 06 Dec 2020
Robust Federated Learning with Noisy Labels Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 16 76 0 03 Dec 2020
Federated learning with class imbalance reduction Miao Yang Akitanoshou Wong Hongbin Zhu Haifeng Wang H. Qian FedML 6 121 0 23 Nov 2020
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 23 69 0 20 Nov 2020
Stochastic Client Selection for Federated Learning with Volatile Clients Tiansheng Huang Weiwei Lin Li Shen Keqin Li Albert Y. Zomaya FedML 14 97 0 17 Nov 2020
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 29 58 0 17 Nov 2020
A Theoretical Perspective on Differentially Private Federated Multi-task Learning Huiwen Wu Cen Chen Li Wang FedML 6 12 0 14 Nov 2020
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments Reza Nasirigerdeh Mohammad Bakhtiari Reihaneh Torkzadehmahani Amirhossein Bayat M. List David B. Blumenthal Jan Baumbach FedML 16 8 0 13 Nov 2020
FDNAS: Improving Data Privacy and Model Diversity in AutoML Chunhui Zhang Yongyuan Liang Xiaoming Yuan Lei Cheng FedML 12 1 0 06 Nov 2020
Communication-efficient Decentralized Local SGD over Undirected Networks Tiancheng Qin S. Rasoul Etesami César A. Uribe FedML 19 14 0 06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 6 19 0 06 Nov 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks Ali Abedi Shehroz S. Khan FedML 31 53 0 06 Nov 2020
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence Zhaolin Ren Aoxiao Zhong Na Li 9 3 0 03 Nov 2020
Fast Convergence Algorithm for Analog Federated Learning Shuhao Xia Jingyang Zhu Yuhan Yang Yong Zhou Yuanming Shi Wei-Neng Chen FedML 22 31 0 30 Oct 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 28 51 0 24 Oct 2020
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 139 83 0 24 Oct 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 86 109 0 20 Oct 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 73 92 0 19 Oct 2020
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure Moming Duan Duo Liu Xinyuan Ji Renping Liu Liang Liang Xianzhang Chen Yujuan Tan FedML 14 61 0 14 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 15 78 0 13 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Zheng Chai Yujing Chen Ali Anwar Liang Zhao Yue Cheng Huzefa Rangwala FedML 8 121 0 12 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat Jennifer Gillenwater Eric P. Xing Afshin Rostamizadeh FedML 16 109 0 11 Oct 2020
Fairness-aware Agnostic Federated Learning Wei Du Depeng Xu Xintao Wu Hanghang Tong FedML 8 128 0 10 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning Yuqing Zhu Xiang Yu Yi-Hsuan Tsai Francesco Pittaluga M. Faraki Manmohan Chandraker Yu-Xiang Wang FedML 21 21 0 09 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 33 400 0 03 Oct 2020
Loosely Coupled Federated Learning Over Generative Models Shaoming Song Yunfeng Shao Jian Li FedML 12 1 0 28 Sep 2020
Over-the-Air Federated Learning from Heterogeneous Data Tomer Sery Nir Shlezinger Kobi Cohen Yonina C. Eldar FedML 9 195 0 27 Sep 2020
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling Cheng Chen Ziyi Chen Yi Zhou B. Kailkhura FedML 25 60 0 22 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 40 157 0 17 Sep 2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism Anxun He Jianzong Wang Zhangcheng Huang Jing Xiao FedML 9 10 0 16 Sep 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data Qianqian Tong Guannan Liang J. Bi FedML 33 27 0 14 Sep 2020
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization Achintya Kundu Pengqian Yu L. Wynter Shiau Hong Lim FedML 14 14 0 14 Sep 2020
On Communication Compression for Distributed Optimization on Heterogeneous Data Sebastian U. Stich 45 22 0 04 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 14 255 0 04 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 11 153 0 01 Sep 2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs Dongming Han Wei Chen Rusheng Pan Yijing Liu Jiehui Zhou ... Tianye Zhang Changjie Fan Jianrong Tao Xiaolong Luke Zhang H. Feng FedML 9 1 0 27 Aug 2020
Accelerating Federated Learning in Heterogeneous Data and Computational Environments Dimitris Stripelis J. Ambite FedML 12 11 0 25 Aug 2020
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