Personalized Federated Learning: A Meta-Learning Approach

19 February 2020

Asuman Ozdaglar

Papers citing "Personalized Federated Learning: A Meta-Learning Approach"

50 / 291 papers shown

Title
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 89 0 0 19 Feb 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models Zhenqing Ling Daoyuan Chen Liuyi Yao Yaliang Li Ying Shen FedML 45 12 0 08 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 41 2 0 07 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang Yang Zhao Jiahua Dong Ating Yin Qinbin Li Xiao Wang Dusit Niyato Qi Zhu FedML 74 2 0 03 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 27 1 0 03 Feb 2024
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm Wei-Ting Yao Chengming Yu Shangzhi Zeng Jin Zhang 16 13 0 29 Jan 2024
Formal Logic Enabled Personalized Federated Learning Through Property Inference Ziyan An Taylor T. Johnson Meiyi Ma 16 5 0 15 Jan 2024
Gradient Coreset for Federated Learning D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 29 1 0 13 Jan 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 17 1 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
On the Role of Server Momentum in Federated Learning Jianhui Sun Xidong Wu Heng-Chiao Huang Aidong Zhang FedML 46 5 0 19 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong Gang Yan Shiqiang Wang Jian Li 34 5 0 17 Dec 2023
3FM: Multi-modal Meta-learning for Federated Tasks Minh Tran Roochi Shah Zejun Gong 24 1 0 15 Dec 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 23 2 0 08 Nov 2023
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 Nov 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 21 4 0 26 Oct 2023
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection Taehyeon Kim Eric Lin Junu Lee Christian Lau Vaikkunth Mugunthan FedML 15 4 0 26 Oct 2023
Federated Conditional Stochastic Optimization Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 36 4 0 04 Oct 2023
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning Debora Caldarola Barbara Caputo Marco Ciccone FedML 13 7 0 02 Oct 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling Huancheng Chen H. Vikalo FedML 8 2 0 30 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Kangyang Luo Shuai Wang Y. Fu Xiang Li Yunshi Lan Minghui Gao FedML 23 23 0 24 Sep 2023
Federated cINN Clustering for Accurate Clustered Federated Learning Yuhao Zhou Minjia Shi Yuxin Tian Yuanxiang Li Qing Ye Jiancheng Lv FedML 17 6 0 04 Sep 2023
FedFwd: Federated Learning without Backpropagation Seonghwan Park Dahun Shin Jinseok Chung Namhoon Lee FedML 17 5 0 03 Sep 2023
REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments Humaid Ahmed Desai Amr B. Hilal Hoda Eldardiry 13 0 0 25 Aug 2023
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning Achintha Wijesinghe Songyang Zhang Zhi Ding 31 2 0 23 Aug 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
Privacy-preserving patient clustering for personalized federated learning Ahmed Elhussein Gamze Gursoy FedML OOD 13 8 0 17 Jul 2023
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models Moab Arar Rinon Gal Y. Atzmon Gal Chechik Daniel Cohen-Or Ariel Shamir Amit H. Bermano DiffM 43 76 0 13 Jul 2023
MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment Manan Shukla O. Seneviratne AI4MH 16 2 0 09 Jul 2023
Personalized Graph Federated Learning with Differential Privacy François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 26 7 0 10 Jun 2023
Guiding The Last Layer in Federated Learning with Pre-Trained Models G. Legate Nicolas Bernier Lucas Page-Caccia Edouard Oyallon Eugene Belilovsky FedML 11 8 0 06 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspective Peng Yan Guodong Long FedML 11 4 0 06 Jun 2023
Byzantine-Robust Clustered Federated Learning Zhixu Tao Kun Yang Sanjeev R. Kulkarni OOD FedML 18 2 0 01 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 24 14 0 30 May 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 36 0 0 29 May 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 18 3 0 23 May 2023
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization Zhangyu Chang Seyyedali Hosseinalipour M. Chiang Christopher G. Brinton 24 3 0 22 May 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Xinran Liu Shirin Dora Cong Liu Soheil Kolouri Andrea Soltoggio CLL 20 7 0 18 May 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 35 108 0 09 May 2023
FedHB: Hierarchical Bayesian Federated Learning Minyoung Kim Timothy M. Hospedales FedML 33 6 0 08 May 2023
Now It Sounds Like You: Learning Personalized Vocabulary On Device Sida Wang Ashish Shenoy P. Chuang John Nguyen VLM 30 2 0 05 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 74 39 0 01 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Jike Zhong Mingda Zhang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 30 6 0 16 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 21 24 0 14 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Page-Caccia Eugene Belilovsky FedML 23 10 0 11 Apr 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 25 16 0 11 Apr 2023
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence Yu Qiao M. S. Munir Apurba Adhikary Huy Q. Le Avi Deb Raha Chaoning Zhang Choong Seon Hong 18 28 0 01 Apr 2023
Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence Chaoqun You Kun Guo Gang Feng Peng Yang Tony Q. S. Quek FedML 18 7 0 23 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 41 13 0 21 Mar 2023