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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FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning Changlin Song Divya Saxena Jiannong Cao Yuqing Zhao FedML 34 3 0 14 Apr 2024
Simultaneous linear connectivity of neural networks modulo permutation Ekansh Sharma Devin Kwok Tom Denton Daniel M. Roy David Rolnick Gintare Karolina Dziugaite 189 7 0 09 Apr 2024
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data Okko Makkonen Sampo Niemelä Camilla Hollanti Serge Kas Hanna 27 0 0 04 Apr 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 27 1 0 03 Apr 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 26 6 0 19 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks Ibrahim Almakky Santosh Sanjeev Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub Mohammad Yaqub FedML MoMe 77 3 0 18 Mar 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian Mrinmay Sen A. K. Qin Krishna Mohan FedML 19 0 0 16 Mar 2024
Enhancing IoT Security Against DDoS Attacks through Federated Learning Ghazaleh Shirvani Saeid Ghasemshirazi Mohammad Ali Alipour 25 1 0 16 Mar 2024
Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia Alexander Rubinstein Ehsan Abbasnejad Seong Joon Oh MoMe 431 2 5 12 Mar 2024
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models Wanru Zhao Yaxin Du Nicholas D. Lane Siheng Chen Yanfeng Wang 30 3 0 07 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 22 0 0 07 Mar 2024
DPPA: Pruning Method for Large Language Model to Model Merging Yaochen Zhu Rui Xia Jiajun Zhang MoMe 30 4 0 05 Mar 2024
MeanCache: User-Centric Semantic Caching for LLM Web Services Waris Gill Mohamed Elidrisi Pallavi Kalapatapu Ammar Ahmed Ali Anwar Muhammad Ali Gulzar Virginia Tech 26 1 0 05 Mar 2024
Training-Free Pretrained Model Merging Zhenxing Xu Ke Yuan Huiqiong Wang Yong Wang Mingli Song Jie Song MoMe 32 15 0 04 Mar 2024
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling Xingyan Chen Tian Du Mu Wang Tiancheng Gu Yu Zhao Gang Kou Changqiao Xu Dapeng Oliver Wu 34 2 0 04 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 41 3 0 27 Feb 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 23 0 0 25 Feb 2024
Stochastic Approximation Approach to Federated Machine Learning P. V. Srihari B. Bhikkaji FedML 20 0 0 20 Feb 2024
Scheduling for On-Board Federated Learning with Satellite Clusters N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML AIFin 30 2 0 14 Feb 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing Yongzhe Jia Xuyun Zhang Amin Beheshti Wanchun Dou FedML 19 5 0 13 Feb 2024
Towards Meta-Pruning via Optimal Transport Alexander Theus Olin Geimer Friedrich Wicke Thomas Hofmann Sotiris Anagnostidis Sidak Pal Singh MoMe 11 3 0 12 Feb 2024
Empowering Federated Learning for Massive Models with NVIDIA FLARE Holger R. Roth Ziyue Xu Yuan-Ting Hsieh Adithya Renduchintala Isaac Yang ... Camir Ricketts Daguang Xu Chester Chen Yan Cheng Andrew Feng AI4CE 26 5 0 12 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 24 2 0 08 Feb 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Akira Ito Masanori Yamada Atsutoshi Kumagai MoMe 56 5 0 06 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 27 1 0 03 Feb 2024
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion Zexi Li Zhiqi Li Jie Lin Tao Shen Tao Lin Chao Wu 28 4 0 02 Feb 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 36 1 0 23 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 49 5 0 22 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
Gradient Coreset for Federated Learning D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 29 1 0 13 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 11 11 0 10 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao FedML 57 37 0 06 Jan 2024
Federated Learning for distribution skewed data using sample weights Hung Nguyen Peiyuan Wu Morris Chang OOD FedML 14 5 0 05 Jan 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 17 1 0 23 Dec 2023
Federated Learning via Input-Output Collaborative Distillation Xuan Gong Shanglin Li Yuxiang Bao Barry Yao Yawen Huang Ziyan Wu Baochang Zhang Yefeng Zheng David Doermann FedML 16 6 0 22 Dec 2023
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 13 0 0 22 Dec 2023
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 28 3 0 18 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong Gang Yan Shiqiang Wang Jian Li 26 5 0 17 Dec 2023
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space Mohsin Hasan Guojun Zhang Kaiyang Guo Xi Chen Pascal Poupart FedML 21 9 0 15 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao Q. Li Bingsheng He FedML 22 16 0 11 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 33 5 0 10 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 16 2 0 10 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach Seyed Mahmoud Sajjadi Mohammadabadi Syed Zawad Feng Yan Lei Yang FedML 22 7 0 09 Dec 2023
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation Fanfei Meng Lele Zhang Yu Chen Yuxin Wang FedML 17 4 0 30 Nov 2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning Seongyoon Kim Gihun Lee Jaehoon Oh Se-Young Yun 20 2 0 22 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 34 3 0 22 Nov 2023
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence Shu Zheng Tiandi Ye Xiang Li Ming Gao FedML 8 1 0 21 Nov 2023
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data Mahfuzur Rahman Chowdhury Muhammad Ibrahim FedML 8 0 0 16 Nov 2023
FedCode: Communication-Efficient Federated Learning via Transferring Codebooks Saeed Khalilian Gourtani Vasileios Tsouvalas T. Ozcelebi N. Meratnia FedML 28 5 0 15 Nov 2023
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 30 6 0 14 Nov 2023