FedNDA: Enhancing Federated Learning with Noisy Client Detection and Robust Aggregation
Federated Learning is a novel decentralized methodology that enables multiple clients to collaboratively train a global model while preserving the privacy of their local data. Although federated learning enhances data privacy, it faces challenges related to data quality and client behavior. A funda...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2025-07-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/inis/article/view/8720 |
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