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Financial Fraud Detection by kandiejk90 is a document available to read on EtoBox.

The document presents Dynamic Sharded Federated Learning (DSFL), a framework designed to enhance cross-institutional financial fraud detection while addressing scalability, privacy, and integrity challenges. DSFL utilizes Dynamic Stochastic Sharding to partition participants into smaller clusters, enabling efficient secure aggregation without the need for raw data sharing, thus complying with privacy regulations. Experimental results demonstrate that DSFL significantly reduces aggregation latency and improv

Author
kandiejk90
Language
EN