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 / 1,086 papers shown

Title
Improving Accelerated Federated Learning with Compression and Importance Sampling Michal Grudzieñ Grigory Malinovsky Peter Richtárik FedML 37 9 0 05 Jun 2023
Federated Deep Learning for Intrusion Detection in IoT Networks Othmane Belarbi Theodoros Spyridopoulos Eirini Anthi Ioannis Mavromatis P. Carnelli Aftab Khan OOD 25 12 0 05 Jun 2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction Yu-bao Yan Hong Wang Yawen Huang Nanjun He Lei Zhu Yuexiang Li Yong Xu Yefeng Zheng OOD FedML 27 23 0 05 Jun 2023
Jammer classification with Federated Learning Peng Wu Helena Calatrava Tales Imbiriba Pau Closas 22 8 0 05 Jun 2023
TIES-Merging: Resolving Interference When Merging Models Prateek Yadav Derek Tam Leshem Choshen Colin Raffel Joey Tianyi Zhou MoMe 45 257 0 02 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 28 0 0 02 Jun 2023
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications Ming Xiang Stratis Ioannidis E. Yeh Carlee Joe-Wong Lili Su FedML 11 4 0 01 Jun 2023
Federated Learning in the Presence of Adversarial Client Unavailability Lili Su Ming Xiang Jiaming Xu Pengkun Yang FedML AAML 10 2 0 31 May 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 40 61 0 30 May 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 39 21 0 27 May 2023
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning Yuchang Sun Zehong Lin Yuyi Mao Shi Jin Jinchao Zhang 48 11 0 26 May 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients Hao Fei Fuxun Yu Yongbo Yu Minjia Zhang Ang Li Xiang Chen FedML 15 2 0 25 May 2023
Federated Composite Saddle Point Optimization Site Bai Brian Bullins FedML 38 0 0 25 May 2023
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 30 5 0 24 May 2023
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework Xinjing Yuan Lingjun Pu Lei Jiao Xiaofei Wang Mei Yang Jingdong Xu FedML 33 4 0 22 May 2023
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu Xingchen Ma Matthew B. Blaschko FedML 38 19 0 21 May 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy Achintha Wijesinghe Songyang Zhang Zhi Ding FedML 29 7 0 19 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 21 20 0 19 May 2023
Client Selection for Federated Policy Optimization with Environment Heterogeneity Zhijie Xie S. H. Song 29 3 0 18 May 2023
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Cheng Chen Yihao Huang Xian Wei Xiang Lian Yang Liu Mingsong Chen FedML 19 8 0 18 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps Jed Mills Jia Hu Geyong Min FedML 30 7 0 16 May 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 38 12 0 13 May 2023
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception Hassan Akbari Dan Kondratyuk Huayu Chen Rachel Hornung Haoran Wang Hartwig Adam VLM MoE 30 11 0 10 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 32 17 0 10 May 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 37 65 0 10 May 2023
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin Tongxin Yin Zhong Chen Zeyu Sun Xueru Zhang Yang Liu Mingyan D. Liu OOD FedML 25 7 0 08 May 2023
FedHB: Hierarchical Bayesian Federated Learning Minyoung Kim Timothy M. Hospedales FedML 33 6 0 08 May 2023
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey Yanna Jiang Baihe Ma Xu Wang Ping Yu Guangsheng Yu Zhe Wang Weiquan Ni R. Liu AI4CE 36 19 0 08 May 2023
MrTF: Model Refinery for Transductive Federated Learning Xin-Chun Li Yang Yang De-Chuan Zhan 35 3 0 07 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 36 30 0 06 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 116 47 0 04 May 2023
Can Fair Federated Learning reduce the need for Personalisation? Ferhat Ozgur Catak Pedro Gusmão S. Sarp FedML 17 1 0 04 May 2023
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization Yuanming Shi Shuhao Xia Yong Zhou Yijie Mao Chunxiao Jiang M. Tao FedML 28 15 0 04 May 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning Jie Zhang Xiaosong Ma Song Guo Wenchao Xu FedML 39 8 0 01 May 2023
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems Aditya Pribadi Kalapaaking Ibrahim Khalil X. Yi 27 41 0 26 Apr 2023
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis Hao Lu Adam Thelen Olga Fink Chao Hu S. Laflamme FedML 23 10 0 26 Apr 2023
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities Xianhao Chen Yiqin Deng Haichuan Ding Guanqiao Qu Haixia Zhang P. Li Yuguang Fang GNN 45 41 0 22 Apr 2023
Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning Jieming Bian Cong Shen Jie Xu FedML 41 2 0 21 Apr 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation Bing Luo Yutong Feng Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 29 10 0 17 Apr 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 18 12 0 15 Apr 2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training Riyasat Ohib Bishal Thapaliya Pratyush Gaggenapalli Jiaheng Liu Vince D. Calhoun Sergey Plis FedML 21 2 0 15 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 36 10 0 11 Apr 2023
Benchmarking FedAvg and FedCurv for Image Classification Tasks Bruno Casella Roberto Esposito C. Cavazzoni Marco Aldinucci FedML 22 12 0 31 Mar 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 31 47 0 29 Mar 2023
On the Local Cache Update Rules in Streaming Federated Learning Heqiang Wang Jieming Bian Jie Xu 24 5 0 28 Mar 2023
A Comparative Study of Federated Learning Models for COVID-19 Detection Erfan Darzidehkalani N. Sijtsema P. V. Ooijen FedML OOD 18 4 0 28 Mar 2023
Asynchronous Online Federated Learning with Reduced Communication Requirements François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh 22 6 0 27 Mar 2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation Rongyu Zhang Xiaowei Chi Guiliang Liu Wenyi Zhang Yuan Du Fang Wang 38 12 0 27 Mar 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 34 3 0 27 Mar 2023
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks Marc Katzef Andrew C. Cullen T. Alpcan C. Leckie Justin Kopacz 25 0 0 23 Mar 2023