Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics

10 January 2024

Papers citing "Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics"

10 / 10 papers shown

Title
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 88 47 0 18 Nov 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Alessio Mora Lorenzo Valerio Paolo Bellavista A. Passarella FedML MU 46 2 0 14 Aug 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
A Survey on Decentralized Identifiers and Verifiable Credentials Carlo Mazzocca Abbas Acar Selcuk Uluagac R. Montanari Paolo Bellavista Mauro Conti 43 15 0 04 Feb 2024
Compressed Particle-Based Federated Bayesian Learning and Unlearning J. Gong Osvaldo Simeone Joonhyuk Kang FedML 50 10 0 14 Sep 2022
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 221 0 06 Sep 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 65 46 0 25 May 2022
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 89 946 0 03 Feb 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 159 0 24 Dec 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020