Adaptive Personalized Federated Learning

30 March 2020

Yuyang Deng

Mohammad Mahdi Kamani

M. Mahdavi

FedML

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Papers citing "Adaptive Personalized Federated Learning"

50 / 308 papers shown

Title
FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 50 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 41 3 0 24 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 38 0 0 24 May 2024
Balancing Similarity and Complementarity for Federated Learning Kunda Yan Sen Cui Abudukelimu Wuerkaixi Jingfeng Zhang Bo Han Gang Niu Masashi Sugiyama Changshui Zhang FedML 32 1 0 16 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data Mahdi Morafah M. Reisser Bill Lin Christos Louizos FedML 32 5 0 13 May 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis Luyuan Xie Manqing Lin Tianyu Luan Cong Li Yuejian Fang Qingni Shen Zhonghai Wu 36 9 0 10 May 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory Jingru Xie Chenqi Zhu Songze Li FedML CLL 32 0 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
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data Okko Makkonen Sampo Niemelä Camilla Hollanti Serge Kas Hanna 27 0 0 04 Apr 2024
Client-supervised Federated Learning: Towards One-model-for-all Personalization Peng Yan Guodong Long FedML 39 2 0 28 Mar 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 26 6 0 19 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 34 2 0 18 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 30 0 0 07 Mar 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 89 0 0 19 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 62 4 0 25 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 38 1 0 19 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
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality Biwei Yan Hongliang Zhang Minghui Xu Dongxiao Yu Xiuzhen Cheng 41 5 0 15 Jan 2024
Formal Logic Enabled Personalized Federated Learning Through Property Inference Ziyan An Taylor T. Johnson Meiyi Ma 16 5 0 15 Jan 2024
Replica Tree-based Federated Learning using Limited Data Ramona Ghilea I. Rekik 24 0 0 28 Dec 2023
Personalized Federated Learning with Attention-based Client Selection Zihan Chen Jundong Li Cong Shen FedML 22 7 0 23 Dec 2023
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 21 0 0 22 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 24 7 0 18 Dec 2023
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 40 3 0 18 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data Feifei Wang Huiyun Tang Yang Li FedML 27 0 0 07 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 20 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
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 73 33 0 25 Nov 2023
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning Xidong Wu Wan-Yi Lin Devin Willmott Filipe Condessa Yufei Huang Zhenzhen Li Madan Ravi Ganesh FedML 39 4 0 14 Nov 2023
Personalized Online Federated Learning with Multiple Kernels P. M. Ghari Yanning Shen 49 13 0 09 Nov 2023
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Shiqiang Wang Christopher G. Brinton Jaekyun Moon OOD FedML 21 15 0 01 Nov 2023
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach Zhou Ni Morteza Hashemi FedML 33 1 0 29 Oct 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 21 4 0 26 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
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 10 0 0 03 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
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
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
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning Guangyu Sun Matías Mendieta Jun Luo Shandong Wu C. L. P. Chen 30 16 0 17 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 29 7 0 28 Jul 2023
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning Huy Q. Le Minh N. H. Nguyen Chu Myaet Thwal Yu Qiao Chao Zhang Choong Seon Hong 8 13 0 25 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 22 15 0 21 Jul 2023
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior Amir Jaberzadeh A. Shrestha F. Khan Mohammed Afaan Shaikh Bhargav Dave Jason Geng FedML 25 3 0 19 Jul 2023
Privacy-preserving patient clustering for personalized federated learning Ahmed Elhussein Gamze Gursoy FedML OOD 13 8 0 17 Jul 2023
Performance Improvement of Federated Learning Server using Smart NIC N. Shibahara M. Koibuchi Hiroki Matsutani FedML 14 4 0 13 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 22 3 0 05 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning Peng Lan Donglai Chen Chong Xie Keshu Chen Jinyuan He Juntao Zhang Yonghong Chen Yan Xu FedML 20 0 0 29 Jun 2023