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cs.CR2026
Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection
Prajwal Panth, Nishant Nigam
Financial fraud increasingly exploits institutional boundaries: laundering networks distribute transactions across multiple banks because no single institution can observe the full…
cs.CR2026
Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution
Prajwal Panth, Sahaj Raj Malla
We propose the Consensus-Based Privacy-Preserving Data Distribution (CPPDD) framework, a lightweight and post-setup autonomous protocol for secure multi-client data aggregation. Th…