Towards Personalized Federated Learning

1 March 2021

Papers citing "Towards Personalized Federated Learning"

50 / 355 papers shown

Title
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients Mohamed Nabih Ali A. Brutti Daniele Falavigna 32 0 0 27 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen Tianyi Zhou Guodong Long Jie Ma Jing Jiang Chengqi Zhang FedML 35 1 0 26 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 48 0 0 25 May 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models Shengchao Chen Guodong Long Jing Jiang Chengqi Zhang 46 4 0 24 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 39 3 0 24 May 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 33 2 0 23 May 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 48 1 0 23 May 2024
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning Quyang Pan Sheng Sun Zhiyuan Wu Yuwei Wang Min Liu Bo Gao FedML 53 1 0 22 May 2024
Harmonizing Generalization and Personalization in Federated Prompt Learning Tianyu Cui Hongxia Li Jingya Wang Ye-ling Shi FedML VLM 32 8 0 16 May 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 52 11 0 07 May 2024
Federated Learning for Drowsiness Detection in Connected Vehicles William Lindskog Valentin Spannagl Christian Prehofer FedML 19 1 0 06 May 2024
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks William Lindskog Christian Prehofer FedML 47 1 0 03 May 2024
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks Yi Li Renyou Xie Chaojie Li Yi Wang Z. Dong 26 0 0 30 Apr 2024
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data Chenghao Huang Xiaolu Chen Yanru Zhang Hao Wang FedML 36 1 0 27 Apr 2024
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning Jaewon Jang Bonjun Choi FedML 47 0 0 27 Apr 2024
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification Hui Chen Hengyu Liu Zhangkai Wu Xuhui Fan LongBing Cao FedML 33 2 0 24 Apr 2024
Federated Learning with Only Positive Labels by Exploring Label Correlations Xuming An Dui Wang Li Shen Yong Luo Han Hu Bo Du Yonggang Wen Dacheng Tao FedML 23 0 0 24 Apr 2024
Leverage Variational Graph Representation For Model Poisoning on Federated Learning Kai Li Xinnan Yuan Jingjing Zheng Wei Ni Falko Dressler Abbas Jamalipour AAML FedML 30 5 0 23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 70 6 0 23 Apr 2024
Ungeneralizable Examples Jing Ye Xinchao Wang 33 4 0 22 Apr 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems Xiaofei Wang Yunfeng Zhao Chao Qiu Qinghua Hu Victor C. M. Leung 27 6 0 20 Apr 2024
Personalized Wireless Federated Learning for Large Language Models Feibo Jiang Li Dong Siwei Tu Yubo Peng Kezhi Wang Kun Yang Cunhua Pan Dusit Niyato 32 12 0 20 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 51 1 0 19 Apr 2024
Towards Multi-modal Transformers in Federated Learning Guangyu Sun Matías Mendieta Aritra Dutta Xin Li C. L. P. Chen 70 3 0 18 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes Xin-Chun Li Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao Yang Yang De-Chuan Zhan FedML 34 9 0 14 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 31 4 0 13 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Qing Liu Sheng Sun Yuxuan Liang Jingjing Xue Min Liu AI4TS 32 2 0 04 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 31 6 0 03 Apr 2024
MAPL: Model Agnostic Peer-to-peer Learning Sayak Mukherjee Andrea Simonetto Hadi Jamali Rad 34 0 0 28 Mar 2024
Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang Guodong Long Taoshu Shen Jing Jiang Michael Blumenstein 86 19 0 28 Mar 2024
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server Fei Li C. K. Loo W. S. Liew Xiaofeng Liu FedML 19 0 0 21 Mar 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images Zaid Tasneem Akshat Dave Abhishek Singh Kushagra Tiwary Praneeth Vepakomma Ashok Veeraraghavan Ramesh Raskar 29 0 0 19 Mar 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian Mrinmay Sen A. K. Qin Krishna Mohan FedML 19 0 0 16 Mar 2024
Architectural Blueprint For Heterogeneity-Resilient Federated Learning Satwat Bashir T. Dagiuklas Kasra Kassai Muddesar Iqbal 23 1 0 07 Mar 2024
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks Yaqian Qi Yuan Feng Xiangxiang Wang Hanzhe Li Jingxiao Tian FedML 12 14 0 05 Mar 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation Li Lin Yixiang Liu Jiewei Wu Pujin Cheng Zhiyuan Cai Kenneth K. Y. Wong Xiaoying Tang FedML 29 6 0 27 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua FedML 35 2 0 21 Feb 2024
Prompt-based Personalized Federated Learning for Medical Visual Question Answering He Zhu Ren Togo Takahiro Ogawa Miki Haseyama MedIm 16 5 0 15 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 17 13 0 10 Feb 2024
Personalized Federated Learning for Statistical Heterogeneity Muhammad Firdaus Kyung-Hyune Rhee FedML 4 1 0 07 Feb 2024
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting Yizhen Dong Yingjie Wang Mariana Gama Mustafa A. Mustafa Geert Deconinck Xiaowei Huang 11 2 0 02 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q. S. Quek Kai Fong Ernest Chong OOD FedML 24 13 0 29 Jan 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality Huy Q. Le Chu Myaet Thwal Yu Qiao Ye Lin Tun Minh N. H. Nguyen Choong Seon Hong Choong Seon Hong 60 4 0 25 Jan 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning Yuchang Sun Marios Kountouris Jun Zhang FedML 30 2 0 24 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 36 7 0 22 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Joey Tianyi Zhou Howard H. Yang Zuo-Qiang Liu FedML 37 6 0 17 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie-jin Yang Siheng Chen FedML 24 0 0 16 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality Biwei Yan Hongliang Zhang Minghui Xu Dongxiao Yu Xiuzhen Cheng 36 5 0 15 Jan 2024