Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

15 October 2021

Papers citing "Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning"

14 / 14 papers shown

Title
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 45 0 0 03 May 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 38 0 0 12 Apr 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 86 0 0 11 Feb 2025
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Z. Wang AI4CE 120 0 0 10 Dec 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo Cheng Chen Shandong Wu FedML VLM MoE 52 3 0 14 Oct 2024
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 38 0 0 12 Jun 2024
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang FedML 21 17 0 20 Sep 2023
FedCliP: Federated Learning with Client Pruning Beibei Li Zerui Shao Ao Liu Peiran Wang FedML 42 1 0 17 Jan 2023
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 326 0 19 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017