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"

50 / 182 papers shown

Title
Federated Two Stage Decoupling With Adaptive Personalization Layers Hangyu Zhu Yuxiang Fan Zhenping Xie FedML 32 3 0 30 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee Minchan Jeong Sangmook Kim Jaehoon Oh Se-Young Yun FedML 26 8 0 24 Aug 2023
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning Yun-Hin Chan Rui Zhou Running Zhao Zhihan Jiang Edith C.H. Ngai FedML 35 8 0 22 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 39 23 0 20 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 42 8 0 20 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 28 20 0 09 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Zhuang Qi Lei Meng Zitan Chen Han Hu Hui Lin Xiangxu Meng FedML 26 18 0 07 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 248 0 20 Jul 2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning Chia-Hsiang Kao Yu-Chiang Frank Wang FedML 26 1 0 19 Jul 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning Junjun Nie Danyang Xiao Lei Yang Weigang Wu FedML 35 0 0 17 Jul 2023
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 44 55 0 01 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity Bo-wen Li Yasin Esfandiari Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 27 3 0 23 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yu-Hu Yan Lei Zhu FedML OOD 32 10 0 14 Jun 2023
Calibrating Multimodal Learning Huanrong Zhang Changqing Zhang Bing Wu Huazhu Fu Qiufeng Wang Q. Hu 59 16 0 02 Jun 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 43 61 0 30 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 52 167 0 29 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 30 13 0 25 May 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy Achintha Wijesinghe Songyang Zhang Zhi Ding FedML 29 7 0 19 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 40 5 0 01 May 2023
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity Yun-Hin Chan Zhihan Jiang Jing Deng Edith C.H. Ngai FedML 32 1 0 03 Apr 2023
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence Yu Qiao M. S. Munir Apurba Adhikary Huy Q. Le Avi Deb Raha Chaoning Zhang Choong Seon Hong 25 28 0 01 Apr 2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation Yang Lu Pinxin Qian Gang Huang Hanzi Wang 45 11 0 27 Mar 2023
Prototype Helps Federated Learning: Towards Faster Convergence Yu Qiao Seong-Bae Park Sun Moo Kang Choong Seon Hong FedML 13 11 0 22 Mar 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 47 54 0 17 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Jian Xu Mei Yang Wenbo Ding Shao-Lun Huang FedML 22 3 0 11 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang X. Chu Ryan Yide Ran Sunwoo Lee S. Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 23 10 0 03 Mar 2023
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction Jingxin Li Toktam Mahmoodi H. Lam FedML 24 2 0 16 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang Dingfan Chen Raouf Kerkouche Mario Fritz FedML DD 26 4 0 02 Feb 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature Hao Wu Kai-An Yu Chun-Mei Feng Yiming Qian K. Zou Lianyu Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu OOD 40 1 0 30 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 Jan 2023
Federated Recommendation with Additive Personalization Zhiwei Li Guodong Long Tianyi Zhou FedML 36 15 0 22 Jan 2023
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution Chunhui Du Hao He Yaohui Jin 8 2 0 13 Jan 2023
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework Jiayun Zhang Xiyuan Zhang Xinyang Zhang Dezhi Hong Rajesh K. Gupta Jingbo Shang FedML 59 7 0 01 Jan 2023
On the effectiveness of partial variance reduction in federated learning with heterogeneous data Bo-wen Li Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 37 9 0 05 Dec 2022
Distributed Pruning Towards Tiny Neural Networks in Federated Learning Hong Huang Lan Zhang Chaoyue Sun R. Fang Xiaoyong Yuan Dapeng Wu FedML 16 15 0 05 Dec 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 46 126 0 23 Nov 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data Shaoming Duan Chuanyi Liu Peiyi Han Tianyu He Yifeng Xu Qiyuan Deng FedML 33 3 0 22 Nov 2022
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 23 57 0 17 Nov 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers Jinyu Chen Wenchao Xu Song Guo Junxiao Wang Jie Zhang Yining Qi FedML 28 32 0 15 Nov 2022
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design Yikai Yan Chaoyue Niu Fan Wu Qinya Li Shaojie Tang Chengfei Lyu Guihai Chen 32 0 0 11 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Bo-wen Li Dusit Niyato 37 42 0 07 Nov 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning Leijie Zhang Ye-ling Shi Yu-Cheng Chang Chin-Teng Lin FedML 26 15 0 26 Oct 2022
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation Ming Hu Peiheng Zhou Zhihao Yue Zhiwei Ling Yihao Huang Anran Li Yang Liu Xiang Lian Mingsong Chen FedML 24 14 0 15 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 27 31 0 14 Oct 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 33 37 0 06 Oct 2022
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang Pei-Yuan Qiu Jia Liu FedML 29 12 0 03 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 79 55 0 01 Oct 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks Mahdi Morafah Saeed Vahidian Chong Chen M. Shah Bill Lin FedML 62 47 0 30 Sep 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 35 1 0 28 Sep 2022