Kanika Singhal

Federated Deep Learning for Privacy-Preserving Cryptocurrency Fraud Detection Using Heterogeneous Financial Data

FedHDL (Federated Heterogeneous Deep Learning), a novel privacy-preserving framework for cryptocurrency fraud detection that enables collaborative model training across five heterogeneous institutional nodes without raw data exchange, is introduced.