Norm-Based Outlier Filtering and Consensus Aggregation for Robust Federated Learning
Federated Learning (FL) enables collaborative training of machine learning models across distributed clients without sharing private data, making it ideal for privacy-sensitive applications. However, FL is highly vulnerable to backdoor attacks, especially those designed to persist undetected over ti...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11037443/ |
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