On Knowledge Editing in Federated Learning: Perspectives, Challenges,
and Future Directions

On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions

2 June 2023

Jingren Zhou

Papers citing "On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions"

7 / 7 papers shown

Title
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing Jiamu Zheng Jinghuai Zhang Tianyu Du Xuhong Zhang Jianwei Yin Tao Lin KELM 27 0 0 12 Oct 2024
A Comprehensive Study of Knowledge Editing for Large Language Models Ningyu Zhang Yunzhi Yao Bo Tian Peng Wang Shumin Deng ... Lei Liang Zhiqiang Zhang Xiao-Jun Zhu Jun Zhou Huajun Chen KELM 26 76 0 02 Jan 2024
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 24 43 0 31 Oct 2023
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 26 7 0 28 Oct 2022
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 1,698 0 18 Mar 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 102 129 0 07 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017