Decentralized Federated Learning improves data privacy and eliminates single points of failure by removing reliance on centralized storage and model aggregation in distributed computing systems.

Topological indices, which are numerical descriptors that encode molecular structure, are widely used in computational drug discovery due to their efficiency and interpretability. In this study, we ...