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Federated Unlearning with Knowledge Distillation

Federated Unlearning with Knowledge Distillation

24 January 2022
Chen Wu
Sencun Zhu
P. Mitra
    MU
ArXivPDFHTML

Papers citing "Federated Unlearning with Knowledge Distillation"

15 / 15 papers shown
Title
MUNBa: Machine Unlearning via Nash Bargaining
MUNBa: Machine Unlearning via Nash Bargaining
Jing Wu
Mehrtash Harandi
MU
71
3
0
23 Nov 2024
Efficient Federated Unlearning under Plausible Deniability
Efficient Federated Unlearning under Plausible Deniability
Ayush K. Varshney
V. Torra
MU
38
3
0
13 Oct 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
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
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
32
6
0
10 Jun 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
Hanlin Gu
Gongxi Zhu
Jie Zhang
Xinyuan Zhao
Yuxing Han
Lixin Fan
Qiang Yang
MU
43
7
0
24 May 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
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
Efficient Knowledge Deletion from Trained Models through Layer-wise
  Partial Machine Unlearning
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning
Vinay Chakravarthi Gogineni
E. Nadimi
MU
31
1
0
12 Mar 2024
Machine unlearning through fine-grained model parameters perturbation
Machine unlearning through fine-grained model parameters perturbation
Zhiwei Zuo
Zhuo Tang
KenLi Li
Anwitaman Datta
AAML
MU
26
0
0
09 Jan 2024
Machine Unlearning Methodology base on Stochastic Teacher Network
Machine Unlearning Methodology base on Stochastic Teacher Network
Xulong Zhang
Jianzong Wang
Ning Cheng
Yifu Sun
Chuanyao Zhang
Jing Xiao
MU
21
4
0
28 Aug 2023
Subspace based Federated Unlearning
Subspace based Federated Unlearning
Guang-Ming Li
Li Shen
Yan Sun
Yuejun Hu
Han Hu
Dacheng Tao
MU
FedML
28
20
0
24 Feb 2023
Towards Unbounded Machine Unlearning
Towards Unbounded Machine Unlearning
M. Kurmanji
Peter Triantafillou
Jamie Hayes
Eleni Triantafillou
MU
25
122
0
20 Feb 2023
Machine Unlearning of Federated Clusters
Machine Unlearning of Federated Clusters
Chao Pan
Jin Sima
Saurav Prakash
Vishal Rana
O. Milenkovic
FedML
MU
39
25
0
28 Oct 2022
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
54
59
0
02 Aug 2022
Fast Yet Effective Machine Unlearning
Fast Yet Effective Machine Unlearning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
MU
31
171
0
17 Nov 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
188
1,032
0
29 Nov 2018
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