Federated Learning with Matched Averaging

15 February 2020

Hongyi Wang

Mikhail Yurochkin

Yuekai Sun

Dimitris Papailiopoulos

Y. Khazaeni

FedML

ArXiv PDF HTML

Papers citing "Federated Learning with Matched Averaging"

50 / 513 papers shown

Title
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 24 2 0 13 Jun 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning Wenxuan Bao Haohan Wang Jun Wu Jingrui He FedML 15 23 0 10 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 11 9 0 09 Jun 2023
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting Ana-Maria Cretu Daniel Jones Yves-Alexandre de Montjoye Shruti Tople AAML 11 4 0 08 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspective Peng Yan Guodong Long FedML 11 4 0 06 Jun 2023
TIES-Merging: Resolving Interference When Merging Models Prateek Yadav Derek Tam Leshem Choshen Colin Raffel Mohit Bansal MoMe 34 246 0 02 Jun 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma T. Hoang Jie Chen FedML 11 4 0 02 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
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity Kok-Seng Wong Manh Nguyen-Duc Khiem Le-Huy Long Ho-Tuan Cuong Do-Danh Danh Le-Phuoc FedML 25 12 0 31 May 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 35 61 0 30 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Yu Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 30 166 0 29 May 2023
Reducing Communication for Split Learning by Randomized Top-k Sparsification Fei Zheng Chaochao Chen Lingjuan Lyu Binhui Yao FedML 23 10 0 29 May 2023
Personalized Dictionary Learning for Heterogeneous Datasets Geyu Liang Naichen Shi Raed Al Kontar S. Fattahi 23 6 0 24 May 2023
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction Anushiya Arunan Yan Qin Xiaoli Li Chau Yuen FedML 19 25 0 13 May 2023
Continual Learning for End-to-End ASR by Averaging Domain Experts Peter William VanHarn Plantinga Jaekwon Yoo C. Dhir CLL MoMe 17 1 0 12 May 2023
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems Yeshwanth Venkatesha Youngeun Kim Hyoungseob Park Priyadarshini Panda FedML 11 3 0 11 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 28 19 0 08 May 2023
ZipIt! Merging Models from Different Tasks without Training George Stoica Daniel Bolya J. Bjorner Pratik Ramesh Taylor N. Hearn Judy Hoffman VLM MoMe 44 109 0 04 May 2023
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 56 21 0 04 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 19 5 0 02 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 66 39 0 01 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 29 5 0 01 May 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal Naresh Gurulingan Bahram Zonooz Elahe Arani 25 2 0 30 Apr 2023
Bayesian Federated Learning: A Survey LongBing Cao Hui Chen Xuhui Fan João Gama Yew-Soon Ong Vipin Kumar FedML 26 21 0 26 Apr 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 24 4 0 25 Apr 2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization Xujing Li Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 13 4 0 12 Apr 2023
Federated Learning with Classifier Shift for Class Imbalance Yunheng Shen Haoxiang Wang Hairong Lv FedML 6 5 0 11 Apr 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 29 39 0 10 Apr 2023
PopulAtion Parameter Averaging (PAPA) Alexia Jolicoeur-Martineau Emy Gervais Kilian Fatras Yan Zhang Simon Lacoste-Julien MoMe 40 17 0 06 Apr 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 17 3 0 27 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 29 0 0 26 Mar 2023
Identification of Negative Transfers in Multitask Learning Using Surrogate Models Dongyue Li Huy Le Nguyen Hongyang R. Zhang 34 12 0 25 Mar 2023
Re-thinking Federated Active Learning based on Inter-class Diversity Sangmook Kim Sangmin Bae Hwanjun Song Se-Young Yun FedML 23 14 0 22 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Jike Zhong Hong-You Chen Wei-Lun Chao FedML 21 9 0 12 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 18 7 0 08 Mar 2023
Communication Trade-offs in Federated Learning of Spiking Neural Networks Soumi Chaki David Weinberg Ayça Özçelikkale FedML 14 1 0 27 Feb 2023
FedPDC:Federated Learning for Public Dataset Correction Yu-quan Zhang Yongquan Zhang FedML 11 0 0 24 Feb 2023
Personalized Decentralized Federated Learning with Knowledge Distillation Eunjeong Jeong Marios Kountouris FedML 17 16 0 23 Feb 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis Nan Yang Dong Yuan Charles Z. Liu Yong Deng Wei Bao FedML 53 5 0 23 Feb 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang Li Shen Yong Luo Han Hu Kehua Su Yonggang Wen Dacheng Tao FedML 13 9 0 15 Feb 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li Tao R. Lin Xinyi Shang Chao-Xiang Wu FedML 37 59 0 14 Feb 2023
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting Enyi Jiang Yibo Zhang Oluwasanmi Koyejo FedML 25 4 0 10 Feb 2023
Federated Minimax Optimization with Client Heterogeneity Pranay Sharma Rohan Panda Gauri Joshi FedML 30 9 0 08 Feb 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo P. Greengard Hongyi Wang Andrew Gelman Yoon Kim Eric P. Xing FedML 21 20 0 08 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 45 45 0 06 Feb 2023
No One Left Behind: Real-World Federated Class-Incremental Learning Jiahua Dong Hongliu Li Yang Cong Gan Sun Yulun Zhang Dengxin Dai FedML CLL 13 38 0 02 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 30 63 0 30 Jan 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 30 8 0 29 Jan 2023
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference Alind Khare A. Agrawal Aditya Annavajjala Payman Behnam Myungjin Lee Hugo Latapie Alexey Tumanov FedML 11 2 0 26 Jan 2023