The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...
Federated Learning (FL) aims to collaboratively train a global model using decentralized data residing on edge device clients, thereby effectively preserving user data privacy. The inherent challenge ...
Abstract: Federated Learning (FL) exhibits susceptible to model poisoning attacks, which compromise the availability of the collaboratively trained model by introducing detrimental local updates ...
Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.
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