PFA: Privacy-preserving Federated Adaptation for Effective Model
Personalization

PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization

2 March 2021

Papers citing "PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization"

10 / 10 papers shown

Title
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 55 0 0 13 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning Yu Zhou Bingyan Liu FedML OOD TTA 59 0 0 09 Mar 2025
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 26 2 0 13 Oct 2023
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks Chung-ju Huang Leye Wang Xiao Han FedML 32 24 0 11 Feb 2023
FedTP: Federated Learning by Transformer Personalization Hongxia Li Zhongyi Cai Jingya Wang Jiangnan Tang Weiping Ding Chin-Teng Lin Ye-ling Shi FedML 35 59 0 03 Nov 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 31 2 0 03 May 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning Jialiang Han Y. Ma Yudong Han 48 15 0 14 Jan 2022
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification Huanlai Xing Zhiwen Xiao R. Qu Zonghai Zhu Bowen Zhao FedML 35 108 0 30 Dec 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017