No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier

17 March 2023

Papers citing "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier"

46 / 46 papers shown

Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Dinesh Manocha Qinghua Lu Shanshan Ye Jing Jiang OODD 174 1 0 02 May 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 42 0 0 20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 47 0 0 19 Mar 2025
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning Xinghao Wu Jianwei Niu Xuefeng Liu Guogang Zhu Jiayuan Zhang Shaojie Tang 58 0 0 16 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data Shanshan Yan Zexi Li Chao-Xiang Wu Meng Pang Yang Lu Yan Yan Hanzi Wang FedML 61 0 0 10 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 102 0 0 09 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 86 1 0 06 Mar 2025
FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning Meilu Zhu Qiushi Yang Zhifan Gao Yixuan Yuan Jun Liu FedML 59 0 0 24 Feb 2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes Fucheng Guo Zeyu Luan Qing Li Dan Zhao Yong-jia Jiang FedML 53 0 0 22 Feb 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 49 6 0 27 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 31 0 0 16 Oct 2024
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse Arthur Jacot Peter Súkeník Zihan Wang Marco Mondelli 31 1 0 07 Oct 2024
Collapsed Language Models Promote Fairness Jingxuan Xu Wuyang Chen Linyi Li Yao Zhao Yunchao Wei 44 0 0 06 Oct 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 47 1 0 25 Jul 2024
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation Xinghao Wu Jianwei Niu Xuefeng Liu Mingjia Shi Guogang Zhu Shaojie Tang 37 2 0 23 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Guohao Li Liqiang Nie Min Zhang Mamba 41 5 0 08 Jul 2024
Evaluating the Fairness of Neural Collapse in Medical Image Classification Kaouther Mouheb Marawan Elbatel Stefan Klein Esther E. Bron 35 0 0 08 Jul 2024
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Rui Ye Jingyi Chai Xiangrui Liu Yaodong Yang Yanfeng Wang Siheng Chen AAML 50 8 0 15 Jun 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye Rui Ge Xinyu Zhu Jingyi Chai Yaxin Du Yang Liu Yanfeng Wang Siheng Chen FedML 41 14 0 07 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 47 0 0 04 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 47 4 0 03 Jun 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu V. Papyan 48 12 0 28 May 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 43 16 0 26 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo Lin Wang Xiaoying Tang Tao R. Lin FedML OOD 29 0 0 25 May 2024
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal? Peter Súkeník Marco Mondelli Christoph H. Lampert AI4CE 34 7 0 23 May 2024
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse Yining Wang Junjie Sun Chenyue Wang Mi Zhang Min Yang 27 6 0 09 May 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao 80 11 0 23 Mar 2024
Improving Group Connectivity for Generalization of Federated Deep Learning Zexi Li Jie Lin Zhiqi Li Didi Zhu Chao Wu AI4CE FedML 38 0 0 29 Feb 2024
Fixed Random Classifier Rearrangement for Continual Learning Shengyang Huang Jianwen Mo 50 0 0 23 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 22 13 0 10 Feb 2024
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion Zexi Li Zhiqi Li Jie Lin Tao Shen Tao Lin Chao Wu 36 4 0 02 Feb 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 39 6 0 17 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao FedML 68 37 0 06 Jan 2024
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning Lingzhi Gao Zexi Li Yang Lu Chao Wu 39 6 0 30 Nov 2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning Seongyoon Kim Gihun Lee Jaehoon Oh Se-Young Yun 20 2 0 22 Nov 2023
Pairwise Similarity Learning is SimPLE Yandong Wen Weiyang Liu Yao Feng Bhiksha Raj Rita Singh Adrian Weller Michael J. Black Bernhard Schölkopf 33 6 0 13 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 26 9 0 13 Oct 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
Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse Didi Zhu Zexi Li Min Zhang Junkun Yuan Yunfeng Shao Jiashuo Liu Kun Kuang Yinchuan Li Chao Wu VLM 26 1 0 28 Jun 2023
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model Peter Súkeník Marco Mondelli Christoph H. Lampert 26 21 0 22 May 2023
Edge-cloud Collaborative Learning with Federated and Centralized Features Zexi Li Qunwei Li Yi Zhou Wenliang Zhong Guannan Zhang Chao-Xiang Wu FedML 31 10 0 12 Apr 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li Tao R. Lin Xinyi Shang Chao-Xiang Wu FedML 42 59 0 14 Feb 2023
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 132 83 0 06 Oct 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 550 0 21 Jul 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 261 36,371 0 25 Aug 2016