GitHub

SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution

Network architecture of the proposed SMFANet. The proposed SMFANet consists of a shallow feature extraction module, feature modulation blocks, and a lightweight image reconstruction module. Feature ...
IEEE

Secure Gradient Aggregation With Sparsification for Resource-Limited Federated Learning

Abstract: Secure aggregation is an information-theoretic mechanism for gradient aggregation in federated learning, to aggregate the local user gradients without revealing them in the clear. In this ...
IEEE

Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning

Abstract: This paper proposes a new global model aggregation method based on using zero-knowledge federated learning (ZKFL). The purpose is to secure horizontal or P2P federated machine learning ...