Relaxed Contrastive Learning for Federated Learning

Relaxed Contrastive Learning for Federated Learning

10 January 2024

Papers citing "Relaxed Contrastive Learning for Federated Learning"

18 / 18 papers shown

Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Di Lin FedML 115 1 0 12 Mar 2025
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 56 141 0 01 Sep 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 58 46 0 05 Mar 2022
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 65 168 0 25 Sep 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning Nam Hyeon-Woo Moon Ye-Bin Tae-Hyun Oh FedML 46 119 0 13 Aug 2021
Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data Dezhong Yao Wanning Pan Yutong Dai Yao Wan Xiaofeng Ding Hai Jin Zheng Xu Lichao Sun FedML 88 50 0 30 Jun 2021
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat Jennifer Gillenwater Eric Xing Afshin Rostamizadeh FedML 78 109 0 11 Oct 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 61 275 0 02 Jul 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 118 4,505 0 23 Apr 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 112 199 0 18 Mar 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 109 12,007 0 13 Nov 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 47 345 0 14 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 119 563 0 01 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 108 1,128 0 13 Sep 2019
Group Normalization Yuxin Wu Kaiming He 143 3,626 0 22 Mar 2018
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 114 7,448 0 24 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 229 17,328 0 17 Feb 2016
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 236 3,862 0 19 Dec 2014