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Uncertainty Minimization for Personalized Federated Semi-Supervised Learning

5 May 2022

Papers citing "Uncertainty Minimization for Personalized Federated Semi-Supervised Learning"

21 / 21 papers shown

Title
Federated Learning Based on Dynamic Regularization D. A. E. Acar Yue Zhao Ramon Matas Navarro Matthew Mattina P. Whatmough Venkatesh Saligrama FedML 71 776 0 08 Nov 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 126 23 0 09 Sep 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 67 57 0 21 Aug 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 80 659 0 20 May 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 278 815 0 15 Feb 2021
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 77 92 0 04 Nov 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 87 304 0 28 Oct 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets M. Andreux Jean Ogier du Terrail C. Béguier Eric W. Tramel FedML OOD AI4CE 62 115 0 17 Aug 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 90 609 0 07 Jul 2020
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong Jaehong Yoon Eunho Yang Sung Ju Hwang FedML 53 220 0 22 Jun 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 304 556 0 30 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 133 576 0 25 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 157 3,558 0 21 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 117 562 0 06 Jan 2020
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 92 840 0 02 Dec 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 65 346 0 14 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 151 1,005 0 04 Oct 2019
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 148 2,734 0 13 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,709 0 15 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,560 0 07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 829 9,318 0 06 Jun 2015