A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning

28 May 2023

Papers citing "A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning"

5 / 5 papers shown

Title
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
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 65 18 0 29 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 21 4 0 11 Apr 2023
Federated Deep Learning with Bayesian Privacy Hanlin Gu Lixin Fan Bowen Li Jie Li Yan Kang Yuan Yao Qiang Yang FedML 82 24 0 27 Sep 2021
Privacy Against Statistical Inference Flavio du Pin Calmon N. Fawaz FedML 100 345 0 08 Oct 2012