Federated Learning with Matched Averaging

15 February 2020

Hongyi Wang

Mikhail Yurochkin

Yuekai Sun

Dimitris Papailiopoulos

Y. Khazaeni

FedML

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Papers citing "Federated Learning with Matched Averaging"

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When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning Wenkai Yang Yankai Lin Guangxiang Zhao Peng Li Jie Zhou Xu Sun FedML 14 2 0 25 Jan 2023
Accelerating Fair Federated Learning: Adaptive Federated Adam Li Ju Tianru Zhang Salman Toor A. Hellander FedML 14 18 0 23 Jan 2023
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation Huancheng Chen Johnny J. Wang H. Vikalo FedML 18 35 0 21 Jan 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 35 21 0 08 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 16 11 0 04 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework Jiayun Zhang Xiyuan Zhang Xinyang Zhang Dezhi Hong Rajesh K. Gupta Jingbo Shang FedML 51 7 0 01 Jan 2023
Re-basin via implicit Sinkhorn differentiation F. Guerrero-Peña H. R. Medeiros Thomas Dubail Masih Aminbeidokhti Eric Granger M. Pedersoli MoMe 18 43 0 22 Dec 2022
Dataless Knowledge Fusion by Merging Weights of Language Models Xisen Jin Xiang Ren Daniel Preotiuc-Pietro Pengxiang Cheng FedML MoMe 13 210 0 19 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark Fanxing Liu Cheng Zeng Le Zhang Yingjie Zhou Qing Mu Yanru Zhang Ling Zhang Ce Zhu OOD FedML AI4TS 24 8 0 19 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 15 31 0 16 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan Yanfeng Wang Jiangchao Yao Lingjuan Lyu Ya-Qin Zhang Qinghua Tian FedML 16 20 0 14 Dec 2022
GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques Hamidreza Mahini H. Mousavi Masoud Daneshtalab FedML 20 0 0 08 Dec 2022
Federated Learning for Inference at Anytime and Anywhere Zicheng Liu Da Li Javier Fernandez-Marques Stefanos Laskaridis Yan Gao L. Dudziak Stan Z. Li S. Hu Timothy M. Hospedales FedML 21 5 0 08 Dec 2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 24 196 0 02 Dec 2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning Zirui Wang Shaoming Duan Chengyue Wu Wenhao Lin Xin-Xiang Zha Peiyi Han Chuanyi Liu MedIm 11 4 0 02 Dec 2022
Self-supervised On-device Federated Learning from Unlabeled Streams Jiahe Shi Yawen Wu Dewen Zeng Jun Tao Jingtong Hu Yiyu Shi FedML 19 5 0 02 Dec 2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 24 23 0 24 Nov 2022
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes Sunwook Hwang Youngseok Kim Seongwon Kim S. Bahk Hyung-Sin Kim 3DPC 26 3 0 22 Nov 2022
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training Quan Nguyen Hieu H. Pham Kok-Seng Wong Phi Le Nguyen Truong Thao Nguyen Minh N. Do FedML 8 7 0 20 Nov 2022
Scalable Collaborative Learning via Representation Sharing Frédéric Berdoz Abhishek Singh Martin Jaggi Ramesh Raskar FedML 17 3 0 20 Nov 2022
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 15 56 0 17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning Qianling Guo Yong Qi Saiyu Qi Di Wu FedML 21 5 0 16 Nov 2022
REPAIR: REnormalizing Permuted Activations for Interpolation Repair Keller Jordan Hanie Sedghi O. Saukh R. Entezari Behnam Neyshabur MoMe 46 94 0 15 Nov 2022
Bayesian Federated Neural Matching that Completes Full Information Peng Xiao Samuel Cheng FedML 19 2 0 15 Nov 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 15 2 0 15 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 23 92 0 15 Nov 2022
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 30 18 0 15 Nov 2022
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning Yi Liu Song Guo Jie M. Zhang Qihua Zhou Yingchun Wang Xiaohan Zhao 17 1 0 14 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 30 2 0 08 Nov 2022
FedGen: Generalizable Federated Learning for Sequential Data Praveen Venkateswaran Vatche Isahagian Vinod Muthusamy N. Venkatasubramanian OOD FedML 17 10 0 03 Nov 2022
A Convergence Theory for Federated Average: Beyond Smoothness Xiaoxiao Li Zhao-quan Song Runzhou Tao Guangyi Zhang FedML 22 5 0 03 Nov 2022
ModularFed: Leveraging Modularity in Federated Learning Frameworks Mohamad Arafeh Hadi Otrok Hakima Ould-Slimane Azzam Mourad C. Talhi Ernesto Damiani 17 19 0 31 Oct 2022
Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones Sannara Ek François Portet P. Lalanda Germán Vega FedML 20 11 0 30 Oct 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park C. Hong FedML 18 6 0 28 Oct 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 31 3 0 26 Oct 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning Leijie Zhang Ye-ling Shi Yu-Cheng Chang Chin-Teng Lin FedML 19 15 0 26 Oct 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World H. Roth Yan Cheng Yuhong Wen Isaac Yang Ziyue Xu ... Daguang Xu Nic Ma Prerna Dogra Mona G. Flores Andrew Feng FedML AI4CE 19 96 0 24 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 46 32 0 24 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks Biao Zhang Shuqin Zhang FedML MoMe 19 0 0 24 Oct 2022
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis Ruinan Jin Xiaoxiao Li FedML AAML MedIm 33 23 0 19 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 10 27 0 16 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao-quan Song Yitan Wang Zheng Yu Licheng Zhang FedML 23 28 0 15 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 19 31 0 14 Oct 2022
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks A. K. Akash Sixu Li Nicolas García Trillos 24 12 0 13 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 22 0 0 06 Oct 2022
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning Shangchao Su Bin Li Xiangyang Xue FedML 24 1 0 04 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 10 1 0 02 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 79 55 0 01 Oct 2022