Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition

3 January 2025

Papers citing "Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition"

24 / 24 papers shown

Title
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning Yi-Rui Yang Kun Wang Wulu Li FedML 85 3 0 09 Mar 2023
Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition Jie Lei Zhao Liu Zeyu Zou Tongtong Li Xu Juan Shuai Wang Guoyu Yang Zunlei Feng CVBM 81 5 0 27 Jul 2022
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition Chih-Ting Liu Chien-Yi Wang Shao-Yi Chien S. Lai FedML 95 37 0 23 Dec 2021
Federated Learning for Face Recognition with Gradient Correction Yifan Niu Weihong Deng FedML 111 57 0 14 Dec 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 284 422 0 14 Jul 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 115 345 0 09 Jun 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 260 498 0 01 May 2021
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition Delian Ruan Yan Yan Shenqi Lai Z. Chai Chunhua Shen Hanzi Wang CVBM 88 135 0 12 Apr 2021
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition Jiahui She Yibo Hu Hailin Shi Jun Wang Qiu Shen Tao Mei 98 194 0 01 Apr 2021
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 120 619 0 07 Jul 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 104 1,016 0 16 Jun 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 245 333 0 19 Mar 2020
Suppressing Uncertainties for Large-Scale Facial Expression Recognition Kai Wang Xiaojiang Peng Jianfei Yang Shijian Lu Yu Qiao 116 495 0 24 Feb 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 306 6,355 0 10 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 103 854 0 02 Dec 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,016 0 23 Jul 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 145 629 0 09 Apr 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 403 5,300 0 14 Dec 2018
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 112 1,403 0 25 Sep 2018
Island Loss for Learning Discriminative Features in Facial Expression Recognition Jie Cai Zibo Meng Ahmed-Shehab Khan Zhiyuan Li James O'Reilly Yan Tong CVBM 115 261 0 09 Oct 2017
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution Emad Barsoum Cha Zhang Cristian Canton Ferrer Zhengyou Zhang 131 722 0 03 Aug 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 536 17,797 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.8K 195,310 0 10 Dec 2015
Going Deeper in Facial Expression Recognition using Deep Neural Networks A. Mollahosseini David M. Chan Mohammad H. Mahoor 78 861 0 12 Nov 2015