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
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding Zechao Li Wei Wang FedML 24 0 0 15 May 2025
Energy-Efficient Federated Learning for AIoT using Clustering Methods Roberto Pereira Fernanda Famá Charalampos Kalalas Paolo Dini 19 0 0 14 May 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 38 0 0 12 Apr 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 43 0 0 31 Mar 2025
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks Xingyu Lyu Ning Wang Yang Xiao Shixiong Li Tao Li Danjue Chen Yimin Chen AAML FedML 54 0 0 30 Mar 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 47 0 0 20 Mar 2025
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 82 0 0 19 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 52 0 0 19 Mar 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 36 1 0 17 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
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 68 0 0 10 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 69 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
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 60 0 0 20 Feb 2025
FedCC: Robust Federated Learning against Model Poisoning Attacks Hyejun Jeong H. Son Seohu Lee Jayun Hyun T. Chung FedML 64 5 0 20 Feb 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition Hu Ding Yan Yan Yang Lu Jing-Hao Xue Hanzi Wang 33 0 0 03 Jan 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning S. Chowdhury Raju Halder FedML 40 0 0 31 Dec 2024
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Di Yu Xin Du Linshan Jiang Shunwen Bai Wentao Tong Shuiguang Deng FedML 36 0 0 23 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Zehao Wang AI4CE 120 0 0 10 Dec 2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning Haiyang Guo Fei Zhu Fanhu Zeng Bing Liu Xu-Yao Zhang MoMe CLL 91 3 0 28 Nov 2024
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
Robust Model Evaluation over Large-scale Federated Networks Amir Najafi Samin Mahdizadeh Sani Farzan Farnia OOD FedML 27 0 0 26 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 39 2 0 23 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma Chao Pan Rasoul Etesami Han Zhao Olgica Milenković FedML AAML 36 0 0 16 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 40 1 0 09 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 31 0 0 04 Oct 2024
An Enhanced Federated Prototype Learning Method under Domain Shift Liang Kuang Kuangpu Guo Jian Liang Jianguo Zhang FedML 29 0 0 27 Sep 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review Nikolas Koutsoubis Asim Waqas Yasin Yilmaz R. Ramachandran M. Schabath Ghulam Rasool 34 1 0 24 Sep 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu Peng Li Xuefeng Jiang FedML 28 3 0 18 Sep 2024
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data Jianyi Zhang H. Yang Ang Li Xin Guo Pu Wang Haiming Wang Yiran Chen Hai Li 39 2 0 09 Sep 2024
GAS: Generative Activation-Aided Asynchronous Split Federated Learning Jiarong Yang Yuan Liu 38 0 0 02 Sep 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization Qianyi Zhao Chen Qu Cen Chen Mingyuan Fan Yanhao Wang 38 1 0 28 Aug 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning Zichen Tang Junlin Huang Rudan Yan Yuxin Wang Zhenheng Tang S. Shi Amelie Chi Zhou Xiaowen Chu FedML 55 2 0 27 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 38 1 0 15 Aug 2024
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning M. A. Ma'sum Mahardhika Pratama Savitha Ramasamy Lin Liu Habibullah Habibullah Ryszard Kowalczyk CLL 41 0 0 30 Jul 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 60 1 0 25 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 52 0 0 23 Jul 2024
Privacy-Preserving Adaptive Re-Identification without Image Transfer Hamza Rami Jhony H. Giraldo Nicolas Winckler Stéphane Lathuilière 24 0 0 17 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 29 0 0 17 Jul 2024
FedLog: Personalized Federated Classification with Less Communication and More Flexibility Haolin Yu Guojun Zhang Pascal Poupart FedML 35 0 0 11 Jul 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 39 0 0 24 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 34 8 0 18 Jun 2024
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation Tong Xia Abhirup Ghosh Xinchi Qiu Cecilia Mascolo 32 3 0 13 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 50 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
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning Zhuang Qi Lei Meng Weihao He Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng FedML 37 4 0 30 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
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 47 3 0 24 May 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation Peihua Mai Ran Yan Yan Pang FedML 51 6 0 24 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory Naibo Wang Yuchen Deng Wenjie Feng Jianwei Yin See-Kiong Ng DiffM FedML 47 1 0 22 May 2024