A Survey on Federated Unlearning: Challenges, Methods, and Future Directions

31 October 2023

Kwok-Yan Lam

Xiaoning Liu

Papers citing "A Survey on Federated Unlearning: Challenges, Methods, and Future Directions"

30 / 30 papers shown

Title
ForgetMe: Evaluating Selective Forgetting in Generative Models Zhenyu Yu Mohd Yamani Inda Idris Pei Wang DiffM MU 34 0 0 17 Apr 2025
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista MU 21 0 0 08 Apr 2025
Sky of Unlearning (SoUL): Rewiring Federated Machine Unlearning via Selective Pruning Md Mahabub Uz Zaman Xiang Sun Jingjing Yao MU 27 0 0 02 Apr 2025
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks M. Prabhakaran S. Nicolazzo Antonino Nocera Vinod Puthuvath AAML MU 93 0 0 26 Mar 2025
NoT: Federated Unlearning via Weight Negation Yasser H. Khalil Leo Maxime Brunswic Soufiane Lamghari Xu Li Mahdi Beitollahi Xi Chen MU 48 2 0 07 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 57 0 0 05 Mar 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 77 0 0 24 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 83 4 0 14 Feb 2025
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
Federated Unlearning Model Recovery in Data with Skewed Label Distributions Xinrui Yu Wenbin Pei Bing Xue Qiang Zhang FedML MU 79 1 0 18 Dec 2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 87 1 0 28 Nov 2024
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Yu Jiang Xindi Tong Ziyao Liu Huanyi Ye Chee Wei Tan K. Lam MU 33 1 0 17 Nov 2024
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method Yu Jiang Chee Wei Tan K. Lam FedML MU 36 1 0 17 Nov 2024
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation Ziyao Liu Yu Jiang Weifeng Jiang Jiale Guo Jun Zhao Kwok-Yan Lam MU FedML 47 6 0 03 Jun 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu Gongxi Zhu Jie Zhang Xinyuan Zhao Yuxing Han Lixin Fan Qiang Yang MU 38 7 0 24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 33 7 0 23 May 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal Ziyao Liu Huanyi Ye Yu Jiang Jiyuan Shen Jiale Guo Ivan Tjuawinata Kwok-Yan Lam MU 29 5 0 15 Apr 2024
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security Yihe Fan Yuxin Cao Ziyu Zhao Ziyao Liu Shaofeng Li 30 12 0 08 Apr 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
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 72 81 0 13 Feb 2024
Scalable Federated Unlearning via Isolated and Coded Sharding Yi-Lan Lin Zhipeng Gao Hongyang Du Dusit Niyato Gui Gui Shuguang Cui Jinke Ren FedML 51 4 0 29 Jan 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 39 5 0 16 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
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
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 43 56 0 02 Jul 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
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 108 611 0 27 Dec 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Xingliang Yuan MIACV MLAU 52 53 0 24 Oct 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 199 434 0 04 Mar 2020