Machine Unlearning of Federated Clusters

Machine Unlearning of Federated Clusters

28 October 2022

Jin Sima

Vishal Rana

Papers citing "Machine Unlearning of Federated Clusters"

15 / 15 papers shown

Title
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu J. Li Kun Gao B. Liu L. Zhang Wanlei Zhou Y. Zhang AAML MU 80 0 0 28 Jan 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 39 3 0 21 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 29 6 0 10 Jun 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 28 7 0 02 Feb 2024
Blockchain-enabled Trustworthy Federated Unlearning Yi-Lan Lin Zhipeng Gao Hongyang Du Jinke Ren Zhiqiang Xie Dusit Niyato MU 29 5 0 29 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 58 22 0 10 Jan 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 40 7 0 18 Nov 2023
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory Naoki Masuyama Yusuke Nojima Y. Toda C. K. Loo H. Ishibuchi N. Kubota FedML 29 3 0 07 Sep 2023
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash Jin Sima Chao Pan Eli Chien O. Milenkovic FedML 45 2 0 14 Aug 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 36 25 0 10 May 2023
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization Yann Fraboni Martin Van Waerebeke Kevin Scaman Richard Vidal Laetitia Kameni Marco Lorenzi FedML MU 13 14 0 21 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 23 32 0 06 Nov 2022
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 64 164 0 29 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 184 411 0 14 Jul 2021