AdeptHEQ-FL integrates hybrid CNN-PQC models, adaptive homomorphic encryption, accuracy-weighted aggregation, and dynamic layer freezing in federated learning to gain accuracy on image datasets while lowering communication overhead.
Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm
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AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
AdeptHEQ-FL integrates hybrid CNN-PQC models, adaptive homomorphic encryption, accuracy-weighted aggregation, and dynamic layer freezing in federated learning to gain accuracy on image datasets while lowering communication overhead.