A comprehensive analysis of model poisoning attacks in federated learning for autonomous vehicles: A benchmark study
Due to the increase in data regulations amid rising privacy concerns, the machine learning (ML) community has proposed a novel distributed training paradigm called federated learning (FL). FL enables untrusted groups of clients to train collaboratively on an FL model without the need to share privat...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024015494 |
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