Federated Unlearning in the Internet of Vehicles-Reference-Cited by-同舟云学术

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Federated Unlearning in the Internet of Vehicles

Published:2024-06-24 Issue: Volume:32 Page:96-103
ISSN:
Container-title:2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)
language:
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Author:

Li Guofeng¹,Feng Xia²,Wang Liangmin¹,Wu Haiqin³,Düdder Boris⁴

Affiliation:

1. Southeast University,School of Cyber Science and Engineering,Nanjing,China

2. Hainan University,School of Cyberspace Security,Haikou,China

3. East China Normal University,Software Engineering Institute,Shanghai,China

4. University of Copenhagen,Department of Computer Science,Copenhagen,Denmark

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10647056/10647057/10647076.pdf?arnumber=10647076

Reference46 articles.

1. FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information

2. FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models

3. Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

4. Communication-efficient learning of deep networks from decentralized data;McMahan

5. Federated Machine Learning

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