No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

9 June 2021

Jian Liang

Papers citing "No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data"

32 / 182 papers shown

Title
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 40 169 0 21 Sep 2022
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion Xu Zhou Xinyu Lei Cong Yang Yichun Shi Xiao Zhang Jin-Yang Shi FedML 33 0 0 23 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Bo-wen Li D. Song FedML 32 8 0 21 Jul 2022
SphereFed: Hyperspherical Federated Learning Xin Dong S. Zhang Ang Li H. T. Kung FedML 47 19 0 19 Jul 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples Zhilin Zhao LongBing Cao Changbao Wang OOD OODD 45 1 0 19 Jun 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 23 6 0 14 Jun 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients Zijian Li Jiawei Shao Yuyi Mao Jessie Hui Wang Jinchao Zhang FedML 17 39 0 11 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinfu He Bo Han X. Chu FedML 30 73 0 06 Jun 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 57 27 0 26 May 2022
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 41 25 0 25 May 2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment Zhiwei Ling Zhihao Yue Jun Xia Ming Hu Ting Wang Mingsong Chen FedML 26 8 0 24 May 2022
FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data Mike He Zhu Léna Néhale Ezzine Dianbo Liu Yoshua Bengio OOD FedML 21 4 0 19 May 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features Xinyi Shang Yang Lu Gang Huang Hanzi Wang FedML 26 79 0 28 Apr 2022
A Closer Look at Personalization in Federated Image Classification Changxing Jing Yan Huang Yihong Zhuang Liyan Sun Yue Huang Zhenlong Xiao Xinghao Ding 38 1 0 22 Apr 2022
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating Fengxiang Yang Zhun Zhong Zhiming Luo Shaozi Li N. Sebe FedML OOD 37 6 0 05 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 24 46 0 05 Mar 2022
Architecture Agnostic Federated Learning for Neural Networks Disha Makhija Xing Han Nhat Ho Joydeep Ghosh FedML 21 40 0 15 Feb 2022
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 22 30 0 25 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 45 20 0 29 Nov 2021
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chong Chen FedML 24 158 0 28 Nov 2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps Xiaopeng Jiang Han Hu Vijaya Datta Mayyuri An M. Chen D. Shila Adriaan Larmuseau Ruoming Jin Cristian Borcea Nhathai Phan FedML 20 11 0 17 Nov 2021
Distribution-Free Federated Learning with Conformal Predictions Charles Lu Jayasheree Kalpathy-Cramer FedML OOD 6 17 0 14 Oct 2021
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 18 559 0 09 Oct 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 26 84 0 16 Jul 2021
Federated Noisy Client Learning Huazhu Fu Li Li Bo Han Chengzhong Xu Ling Shao FedML 28 26 0 24 Jun 2021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee Minchan Jeong Yongjin Shin Sangmin Bae Se-Young Yun FedML 25 115 0 06 Jun 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh Sangmook Kim Se-Young Yun FedML 32 200 0 04 Jun 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 13 4 0 14 May 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 101 950 0 03 Feb 2021
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 43 37 0 16 Dec 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 168 564 0 27 Jul 2020