Towards Personalized Federated Learning

1 March 2021

Papers citing "Towards Personalized Federated Learning"

50 / 355 papers shown

Title
Replica Tree-based Federated Learning using Limited Data Ramona Ghilea I. Rekik 19 0 0 28 Dec 2023
FedSODA: Federated Cross-assessment and Dynamic Aggregation for Histopathology Segmentation Yuanyuan Zhang Yaolei Qi Xiaoming Qi L. Senhadji Yongyue Wei Feng Chen Guanyu Yang FedML 30 4 0 20 Dec 2023
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 35 3 0 18 Dec 2023
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi Han Yu Zhuan Shi Gang Wang Xiaoguang Liu Lizhen Cui Xiaoxiao Li FedML 40 6 0 14 Dec 2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx Trung-Hieu Hoang Jordan D. Fuhrman Ravi K. Madduri Miao Li Pranshu Chaturvedi ... Kibaek Kim Minseok Ryu Ryan Chard Eliu A. Huerta Maryellen L. Giger 24 5 0 14 Dec 2023
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes Zhen Qin Daoyuan Chen Bingchen Qian Bolin Ding Yaliang Li Shuiguang Deng FedML 32 32 0 11 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 28 7 0 07 Dec 2023
Behavioral Authentication for Security and Safety Cheng Wang Hao Tang Hang Zhu Junhan Zheng Changjun Jiang 14 3 0 06 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 15 2 0 05 Dec 2023
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor Jinqian Chen Jihua Zhu Qinghai Zheng 38 3 0 05 Dec 2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning Lingzhi Gao Zexi Li Yang Lu Chao Wu 34 6 0 30 Nov 2023
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices Huancheng Chen H. Vikalo FedML MQ 11 7 0 29 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 71 33 0 25 Nov 2023
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks Rémi Bourgerie Tahar Zanouda 18 4 0 24 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 42 3 0 22 Nov 2023
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations Elaheh Jafarigol Theodore Trafalis Talayeh Razzaghi Mona Zamankhani FedML 12 1 0 17 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing Liping Yi Han Yu Gang Wang Xiaoguang Liu 35 7 0 12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 23 0 0 12 Nov 2023
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach Zhou Ni Morteza Hashemi FedML 28 1 0 29 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 25 0 0 29 Oct 2023
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 23 14 0 28 Oct 2023
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population Hao Di Yi Yang Haishan Ye Xiangyu Chang FedML 25 2 0 22 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 22 3 0 17 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei-Neng Chen Khaled B. Letaief FedML 23 11 0 16 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 21 9 0 13 Oct 2023
PAGE: Equilibrate Personalization and Generalization in Federated Learning Qian Chen Zilong Wang Jiaqi Hu Haonan Yan Jianying Zhou Xiao-La Lin FedML 23 4 0 13 Oct 2023
Price of Stability in Quality-Aware Federated Learning Yizhou Yan Xinyu Tang Chao Huang Ming Tang FedML 20 1 0 13 Oct 2023
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis Shuaijun Chen Omid Tavallaie Michael Henri Hambali S. M. Zandavi Hamed Haddadi Nicholas D. Lane Song Guo Albert Y. Zomaya FedML 21 1 0 12 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao Zihan Chen Songshan Liu Hualiang Wang Yang Feng Jinxiang Hao Joey Tianyi Zhou Jian Wu Howard H. Yang Zuo-Qiang Liu FedML 27 10 0 11 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning Liam Collins Shanshan Wu Sewoong Oh K. Sim FedML 34 9 0 06 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 30 0 0 06 Oct 2023
Digital Ethics in Federated Learning Liangqi Yuan Ziran Wang Christopher G. Brinton 25 4 0 04 Oct 2023
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning Xavier Tan Han Yu FedML 33 3 0 04 Oct 2023
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 79 7 0 30 Sep 2023
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective Zhen Qin Feiyi Chen Chen Zhi Xueqiang Yan Shuiguang Deng AAML FedML 23 3 0 28 Sep 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning Wenke Huang J. J. Valero-Mas Dasaem Jeong Bo Du FedML 30 44 0 28 Sep 2023
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency Long Tan Le Tuan Dung Nguyen Tung-Anh Nguyen Choong Seon Hong Nguyen H. Tran FedML 24 0 0 27 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR Sheikh Shams Azam Tatiana Likhomanenko Martin Pelikan Jan Honza Silovsky 13 6 0 22 Sep 2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning Yuwen Yang Chang Liu Xun Cai Suizhi Huang Hongtao Lu Yue Ding FedML 37 8 0 16 Sep 2023
Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing Zhengrong Song Chuan Ma Ming Ding Howard H. Yang Yuwen Qian Xiangwei Zhou 29 2 0 05 Sep 2023
Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment Indrajeet Kumar Sinha Shekhar Verma Krishna Pratap Singh FedML 27 0 0 02 Sep 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning Weirui Kuang Bingchen Qian Zitao Li Daoyuan Chen Dawei Gao Xuchen Pan Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 8 112 0 01 Sep 2023
Federated Neuro-Symbolic Learning Pengwei Xing Songtao Lu Han Yu FedML 29 2 0 29 Aug 2023
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning Achintha Wijesinghe Songyang Zhang Zhi Ding 29 2 0 23 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 37 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 28 8 0 20 Aug 2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Ke Xu Wen Wang Xue Jiang Bo Gao Jin Lu 24 23 0 15 Aug 2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning Rui Liu Yuanyuan Chen Anran Li Y. Ding Han Yu Cuntai Guan FedML 27 7 0 14 Aug 2023
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers Yulan Gao Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Han Yu FedML 19 2 0 07 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K. R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 17 3 0 07 Aug 2023