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2201.09441
Cited By
Federated Unlearning with Knowledge Distillation
24 January 2022
Chen Wu
Sencun Zhu
P. Mitra
MU
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Papers citing
"Federated Unlearning with Knowledge Distillation"
50 / 56 papers shown
ToFU: Transforming How Federated Learning Systems Forget User Data
Van-Tuan Tran
Hong-Hanh Nguyen-Le
Quoc-Viet Pham
FedML
MU
167
1
0
19 Sep 2025
Tackling Federated Unlearning as a Parameter Estimation Problem
Antonio Balordi
Lorenzo Manini
Fabio Stella
Alessio Merlo
FedML
MU
316
0
0
26 Aug 2025
FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks
Nicolò Romandini
Cristian Borcea
R. Montanari
Luca Foschini
AAML
MU
268
1
0
19 Aug 2025
Quantum-Inspired Audio Unlearning: Towards Privacy-Preserving Voice Biometrics
Shreyansh Pathak
Sonu Shreshtha
Richa Singh
Mayank Vatsa
190
1
0
29 Jul 2025
PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning
Xiangman Li
Xiaodong Wu
Jianbing Ni
Mohamed Mahmoud
Maazen Alsabaan
AAML
212
0
0
18 Jun 2025
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients
Alessio Mora
Carlo Mazzocca
R. Montanari
Paolo Bellavista
MU
355
1
0
08 Apr 2025
Deep Contrastive Unlearning for Language Models
Estrid He
Tabinda Sarwar
Ibrahim Khalil
X. Yi
Ke Wang
MU
408
3
0
19 Mar 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
Gaurav Patel
Qiang Qiu
MU
371
13
0
08 Mar 2025
NoT: Federated Unlearning via Weight Negation
Computer Vision and Pattern Recognition (CVPR), 2025
Yasser H. Khalil
Leo Maxime Brunswic
Soufiane Lamghari
Xu Li
Mahdi Beitollahi
Xi Chen
MU
350
14
0
07 Mar 2025
Vertical Federated Unlearning via Backdoor Certification
IEEE Transactions on Services Computing (TSC), 2024
Mengde Han
Tianqing Zhu
Lefeng Zhang
Huan Huo
Wanlei Zhou
FedML
MU
309
15
0
16 Dec 2024
MUNBa: Machine Unlearning via Nash Bargaining
Jing Wu
Mehrtash Harandi
MU
850
12
0
23 Nov 2024
A Review on Machine Unlearning
SN Computer Science (SCS), 2023
Haibo Zhang
Toru Nakamura
Takamasa Isohara
Kouichi Sakurai
AILaw
PILM
MU
437
86
0
18 Nov 2024
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method
Information Theory Workshop (ITW), 2024
Yu Jiang
Chee Wei Tan
K. Lam
FedML
MU
346
7
0
17 Nov 2024
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning
Tao Liu
Wu Yang
Chen Xu
Jiguang Lv
Huanran Wang
Yuhang Zhang
Shuchun Xu
Dapeng Man
AAML
FedML
386
2
0
06 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Hengzhu Liu
Tianqing Zhu
Lefeng Zhang
Ping Xiong
MU
477
0
0
06 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks
BigData Congress [Services Society] (BSS), 2024
D. Nguyen
Phi Le Nguyen
T. Nguyen
Hieu H. Pham
D. Tran
FedML
313
5
0
05 Nov 2024
Efficient Federated Unlearning under Plausible Deniability
Ayush K. Varshney
V. Torra
MU
277
7
0
13 Oct 2024
ConDa: Fast Federated Unlearning with Contribution Dampening
Vikram S Chundawat
Pushkar Niroula
Prasanna Dhungana
Stefan Schoepf
Murari Mandal
Alexandra Brintrup
FedML
252
6
0
05 Oct 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Alessio Mora
Lorenzo Valerio
Paolo Bellavista
A. Passarella
MU
539
5
0
14 Aug 2024
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging
Zhipeng Deng
Luyang Luo
Hao Chen
MU
212
9
0
02 Jul 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Journal of Information Security and Applications (JISA), 2024
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
272
25
0
10 Jun 2024
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
T. T. Huynh
Trong Bang Nguyen
Phi Le Nguyen
Thanh Tam Nguyen
Matthias Weidlich
Quoc Viet Hung Nguyen
Karl Aberer
MU
304
20
0
28 May 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
362
22
0
24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Neural Information Processing Systems (NeurIPS), 2024
Hanlin Gu
W. Ong
Chee Seng Chan
Lixin Fan
MU
482
20
0
23 May 2024
Machine Unlearning: A Comprehensive Survey
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
AILaw
337
45
0
13 May 2024
Goldfish: An Efficient Federated Unlearning Framework
Dependable Systems and Networks (DSN), 2024
Houzhe Wang
Xiaojie Zhu
Chi Chen
Paulo Esteves-Verissimo
FedML
MU
311
11
0
04 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Ziyao Liu
Huanyi Ye
Chen Chen
Yongsen Zheng
K. Lam
AAML
MU
766
58
0
20 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning
Vinay Chakravarthi Gogineni
E. Nadimi
MU
213
1
0
12 Mar 2024
Federated Unlearning: a Perspective of Stability and Fairness
Jiaqi Shao
Tao Lin
Xuanyu Cao
Bing Luo
MU
366
12
0
02 Feb 2024
How to Forget Clients in Federated Online Learning to Rank?
European Conference on Information Retrieval (ECIR), 2024
Shuyi Wang
Bing Liu
Guido Zuccon
254
12
0
24 Jan 2024
Federated Unlearning for Human Activity Recognition
Kongyang Chen
Dongping Zhang
Yaping Chai
Weibin Zhang
Shaowei Wang
Jiaxing Shen
MU
186
37
0
17 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
European Conference on Computer Vision (ECCV), 2024
Jing Wu
Mehrtash Harandi
472
46
0
11 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Nicolò Romandini
Alessio Mora
Carlo Mazzocca
R. Montanari
Paolo Bellavista
FedML
MU
479
63
0
10 Jan 2024
Machine unlearning through fine-grained model parameters perturbation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zhiwei Zuo
Zhuo Tang
KenLi Li
Anwitaman Datta
AAML
MU
516
5
0
09 Jan 2024
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
IEEE Communications Surveys and Tutorials (COMST), 2023
Yichen Wan
Youyang Qu
Wei Ni
Yong Xiang
Longxiang Gao
Ekram Hossain
AAML
340
97
0
14 Dec 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
ACM Computing Surveys (ACM Comput. Surv.), 2023
Ziyao Liu
Yu Jiang
Jiyuan Shen
Minyi Peng
Kwok-Yan Lam
Xingliang Yuan
Xiaoning Liu
MU
496
119
0
31 Oct 2023
Exploring Federated Unlearning: Review, Comparison, and Insights
Yang Zhao
Jiaxi Yang
Yiling Tao
Lixu Wang
Xiaoxiao Li
Dusit Niyato
H. Vincent Poor
FedML
MU
547
13
0
30 Oct 2023
Defending Our Privacy With Backdoors
European Conference on Artificial Intelligence (ECAI), 2023
Dominik Hintersdorf
Lukas Struppek
Daniel Neider
Kristian Kersting
SILM
AAML
365
5
0
12 Oct 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yash Sinha
Murari Mandal
Mohan S. Kankanhalli
MU
307
19
0
28 Sep 2023
Machine Unlearning Methodology base on Stochastic Teacher Network
Xulong Zhang
Jianzong Wang
Ning Cheng
Yifu Sun
Chuanyao Zhang
Jing Xiao
MU
290
3
0
28 Aug 2023
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation
Guanhua Ye
Tong Chen
Quoc Viet Hung Nguyen
Hongzhi Yin
MU
281
4
0
25 Aug 2023
Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation
Knowledge-Based Systems (KBS), 2023
Yuyuan Li
Chaochao Chen
Xiaolin Zheng
Jiaming Zhang
FedML
MU
379
7
0
07 Jul 2023
Machine Unlearning: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Philip S. Yu
MU
321
50
0
06 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
Leijie Wu
Song Guo
Junxiao Wang
Zicong Hong
Jie Zhang
Jingren Zhou
KELM
268
4
0
02 Jun 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
610
65
0
10 May 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Manaar Alam
Hithem Lamri
Michail Maniatakos
FedML
AAML
MU
243
27
0
20 Apr 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Engineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Thuy-Dung Nguyen
Tuan Nguyen
Phi Le Nguyen
Hieu H. Pham
Khoa D. Doan
Kok-Seng Wong
AAML
FedML
208
103
0
03 Mar 2023
Subspace based Federated Unlearning
Guang-Ming Li
Li Shen
Yan Sun
Yuejun Hu
Han Hu
Dacheng Tao
MU
FedML
261
36
0
24 Feb 2023
Towards Unbounded Machine Unlearning
Neural Information Processing Systems (NeurIPS), 2023
M. Kurmanji
Peter Triantafillou
Jamie Hayes
Eleni Triantafillou
MU
609
265
0
20 Feb 2023
Knowledge Distillation for Federated Learning: a Practical Guide
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Alessio Mora
Irene Tenison
Paolo Bellavista
Irina Rish
FedML
258
52
0
09 Nov 2022
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