Model-Contrastive Federated Learning

30 March 2021

Papers citing "Model-Contrastive Federated Learning"

50 / 64 papers shown

Title
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning Rakibul Hasan Rajib Md Akil Raihan Iftee Mir Sazzat Hossain A. K. M. Mahbubur Rahman Sajib Mistry M Ashraful Amin Amin Ahsan Ali FedML TTA 56 0 0 19 May 2025
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi Sijin Zhou Lei Meng Han Hu Han Yu Xiangxu Meng FedML CML 373 0 0 08 May 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 120 21 0 20 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 112 0 0 12 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 59 0 0 05 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Yongqian Li Bo Liu Sheng Huang Zhe Zhang Xiaotong Yuan Richang Hong 71 0 0 31 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 79 0 0 19 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 165 0 0 09 Mar 2025
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Keigo Nogami Tamura Hiroto Gouhei Tanaka FedML 146 0 0 17 Feb 2025
One-shot Federated Learning Methods: A Practical Guide Xiang Liu Zhenheng Tang Xia Li Yijun Song Sijie Ji Zemin Liu Bo Han Linshan Jiang Jialin Li FedML 113 1 0 13 Feb 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 112 0 0 11 Feb 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Judith Sáinz-Pardo Díaz Á. García 102 0 0 28 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning Yanbing Zhou Xiangmou Qu Chenlong You Jiyang Zhou Jingyue Tang Xin Zheng Chunmao Cai Yingbo Wu FedML 90 3 0 09 Jan 2025
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 80 0 0 31 Dec 2024
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training Milad Soltany Farhad Pourpanah Mahdiyar Molahasani Michael A. Greenspan Ali Etemad FedML 121 1 0 16 Dec 2024
Controlling Participation in Federated Learning with Feedback Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 101 0 0 28 Nov 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Yuante Li FedML 66 0 0 28 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 86 0 0 03 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 378 1 0 30 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 76 0 0 16 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 107 0 0 09 Sep 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 55 0 0 21 Aug 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 290 2 0 25 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 96 6 0 19 May 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 76 5 0 22 Jan 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 62 2 0 22 Jan 2024
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance Haichao Sha Ruixuan Liu Yi-xiao Liu Hong Chen 69 1 0 06 Dec 2023
Federated Learning Based on Dynamic Regularization D. A. E. Acar Yue Zhao Ramon Matas Navarro Matthew Mattina P. Whatmough Venkatesh Saligrama FedML 47 762 0 08 Nov 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 251 802 0 15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 117 966 0 03 Feb 2021
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 53 290 0 15 Dec 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 110 111 0 20 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You Tao Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 56 137 0 18 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 103 189 0 05 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 203 573 0 27 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 43 1,321 0 15 Jul 2020
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging R. Kumar A. Khan Sinmin Zhang Jay Kumar Wenyong Wang Yousif Abuidris Zakria Waqas Amin Sidra Shafiq WenYong Wang OOD FedML 49 326 0 10 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 68 601 0 07 Jul 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 56 982 0 16 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 46 54 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 276 6,718 0 13 Jun 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 112 199 0 18 Mar 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 100 1,117 0 15 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 252 18,607 0 13 Feb 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 135 300 0 17 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 120 6,177 0 10 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 74 1,448 0 04 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 263 42,038 0 03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 113 12,007 0 13 Nov 2019
Practical Federated Gradient Boosting Decision Trees Yue Liu Zeyi Wen Bingsheng He FedML AI4CE 88 188 0 11 Nov 2019