FedME<sup>2</sup>: Memory Evaluation & Erase Promoting Federated Unlearning in DTMN-Reference-Cited by-同舟云学术

FedME²: Memory Evaluation & Erase Promoting Federated Unlearning in DTMN

Author:

Xia Hui¹^ORCID,Xu Shuo¹^ORCID,Pei Jiaming²^ORCID,Zhang Rui¹^ORCID,Yu Zhi³^ORCID,Zou Weitao²^ORCID,Wang Lukun⁴^ORCID,Liu Chao¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Ocean University of China, Qingdao, China

2. School of Computer Science, The University of Sydney, Sydney, NSW, Australia

3. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China

4. College of Intelligent Equipment, Shandong University of Science and Technology (SUST), Qingdao, China

Funder

National Natural Science Foundation of China

Startup Research Foundation for Distinguished Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference43 articles.

2. Unified convergence analysis of stochastic momentum methods for convex and non-convex optimization;yang;arXiv 1604 03257,2016

3. Remember what you want to forget: Algorithms for machine unlearning;sekhari;Proc Adv Neural Inf Process Syst,2021

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