Personalized Federated Learning using Hypernetworks

International Conference on Machine Learning (ICML), 2021

8 March 2021

Papers citing "Personalized Federated Learning using Hypernetworks"

50 / 188 papers shown

Title
Game-theoretic distributed learning of generative models for heterogeneous data collections D. Schlesinger B. Flach FedML SyDa 112 0 0 03 Nov 2025
Federated Learning via Meta-Variational DropoutNeural Information Processing Systems (NeurIPS), 2025 Insu Jeon Minui Hong Junhyeog Yun Gunhee Kim FedML 207 10 0 23 Oct 2025
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning Danni Yang Zhikang Chen Sen Cui Mengyue Yang D. Li Abudukelimu Wuerkaixi Xue Yang Jinke Ren Mingming Gong FedML 64 0 0 28 Sep 2025
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing Zheqi Lv Wenqiao Zhang Kairui Fu Q. Tian Shengyu Zhang Jiajie Su Jingyuan Chen Kun Kuang Fei Wu KELM 92 0 0 08 Sep 2025
Federated Learning for Large Models in Medical Imaging: A Comprehensive Review Mengyu Sun Ziyuan Yang Yongqiang Huang Hui Yu Yingyu Chen Shuren Qi Andrew Beng Jin Teoh Yi Zhang FedML 85 0 0 28 Aug 2025
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning Tiandi Ye Wenyan Liu Kai Yao Lichun Li Shangchao Su Cen Chen Xiang Li Shan Yin Ming Gao FedML 68 0 0 27 Aug 2025
FedProtoKD: Dual Knowledge Distillation with Adaptive Class-wise Prototype Margin for Heterogeneous Federated Learning Md Anwar Hossen Fatema Siddika Wensheng Zhang Anuj Sharma Ali Jannesari 92 0 0 26 Aug 2025
Personalized Subgraph Federated Learning with Sheaf Collaboration Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 84 0 0 19 Aug 2025
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach Yuhao Zhou Jindi Lv Yuxin Tian Dan Si Qing Ye Jiancheng Lv FedML 92 0 0 18 Aug 2025
pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork Thinh Nguyen Le Huy Khiem Van Tuan Tran Khoa D. Doan Nitesh Chawla Kok-Seng Wong FedML 112 0 0 07 Aug 2025
Hypernetworks for Model-Heterogeneous Personalized Federated Learning Chen Zhang Husheng Li Xiang Liu Linshan Jiang Danxin Wang FedML 114 0 0 30 Jul 2025
Whom to Trust? Adaptive Collaboration in Personalized Federated Learning Amr Abourayya Jens Kleesiek Bharat Rao Michael Kamp FedML 227 0 0 30 Jun 2025
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data Sunny Gupta Nikita Jangid Amit Sethi FedML 128 0 0 09 Jun 2025
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data Abhijit Chunduru Majid Morafah Mahdi Morafah Vishnu Pandi Chellapandi Ang Li FedML 309 0 0 26 May 2025
Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions Hossein Zakerinia Jonathan Scott Christoph H. Lampert FedML 214 0 0 21 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 384 1 0 05 May 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated LearningIEEE International Conference on Distributed Computing Systems (ICDCS), 2025 Phung Lai Guanxiong Liu Hai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu FedML 278 1 0 17 Apr 2025
Federated Learning with Domain Shift EraserComputer Vision and Pattern Recognition (CVPR), 2025 Xiping Hu Zihui Wang Liang Luo Xiaoliang Fan Cheng-Yu Wang FedML 257 4 0 17 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs Ziran Zhou Guanyu Gao Xiaohu Wu Yan Lyu FedML 185 1 0 07 Mar 2025
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Doron Serebro Tammy Riklin-Raviv OOD 282 0 0 06 Mar 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 351 1 0 11 Feb 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworksKnowledge-Based Systems (KBS), 2025 Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 275 1 0 24 Jan 2025
PeFLL: Personalized Federated Learning by Learning to LearnInternational Conference on Learning Representations (ICLR), 2023 Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 539 28 0 17 Jan 2025
Optimizing Personalized Federated Learning through Adaptive Layer-Wise LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Weihang Chen Jie Ren Zhiqiang Li Ling Gao Zehao Wang AI4CE 378 0 0 10 Dec 2024
FedAH: Aggregated Head for Personalized Federated Learning Pengzhan Zhou Yuepeng He Yijun Zhai Kaixin Gao Chao Chen Zhida Qin Chong Zhang Songtao Guo FedML 205 1 0 02 Dec 2024
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesInternational Conference on Mobile Ad-hoc and Sensor Networks (ICMASN), 2024 Yijun Zhai Pengzhan Zhou Yuepeng He Fang Qu Zhida Qin Xianlong Jiao Guiyan Liu Songtao Guo 273 1 0 21 Nov 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement SamplingNeural Information Processing Systems (NeurIPS), 2024 Junyi Li Heng Huang 188 1 0 07 Nov 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated LearningNeural Information Processing Systems (NeurIPS), 2024 Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Qiqi Liu Qicheng Lao Han Yu FedML 290 8 0 25 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer Keting Yin Jiayi Mao 221 3 0 19 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 164 1 0 18 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 228 2 0 09 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 199 11 0 07 Oct 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 287 1 0 09 Sep 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 204 0 0 21 Aug 2024
Federated Graph Learning with Structure Proxy AlignmentKnowledge Discovery and Data Mining (KDD), 2024 Xingbo Fu Zihan Chen Binchi Zhang Chen Chen Jundong Li FedML 171 15 0 18 Aug 2024
Research on Personalized Compression Algorithm for Pre-trained Models Based on Homomorphic Entropy Increase Yicong Li Xing Guo Haohua Du 173 0 0 16 Aug 2024
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation Xiaoxiong Zhang Zhiwei Zeng Xin Zhou Zhiqi Shen FedML 201 2 0 11 Aug 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic SurgeryIEEE Transactions on Biomedical Engineering (IEEE TBME), 2024 Jialang Xu Jiacheng Wang Lequan Yu Danail Stoyanov Yueming Jin E. Mazomenos 243 4 0 06 Aug 2024
Semantic Codebook Learning for Dynamic Recommendation ModelsACM Multimedia (MM), 2024 Zheqi Lv Shaoxuan He Ahmed Salem Minxing Zhang Wenqiao Zhang Jingyuan Chen Yang Zhang Fei Wu 246 12 0 31 Jul 2024
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios Filip Stanek AI4TS 168 0 0 29 Jul 2024
HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging Tajamul Ashraf Tisha Madame 166 0 0 25 Jul 2024
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data Yang Li Chunhe Xia Dongchi Huang Xiaojian Li Tianbo Wang FedML 223 1 0 07 Jul 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Yuan Liu Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 266 10 0 03 Jul 2024
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K SparsificationKnowledge-Based Systems (KBS), 2024 Xiaoxiong Zhang Zhiwei Zeng Xin Zhou Dusit Niyato Zhiqi Shen FedML 249 5 0 19 Jun 2024
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph Xiaoxiong Zhang Zhiwei Zeng Xin Zhou Dusit Niyato Zhiqi Shen FedML 221 5 0 17 Jun 2024
Decentralized Personalized Federated Learning Salma Kharrat Marco Canini Samuel Horváth FedML 216 2 0 10 Jun 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 289 16 0 01 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 198 0 0 31 May 2024
Sheaf HyperNetworks for Personalized Federated Learning B. Nguyen Lorenzo Sani Xinchi Qiu Pietro Lio Nicholas D. Lane 199 4 0 31 May 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 135 0 0 31 May 2024