Abstract: Federated Learning (FL) has emerged as an approach to provide a privacy-preserving and communication-efficient Machine Learning (ML) framework in mobile-edge environments which are likely to ...
Abstract: Data aggregation management is paramount in data-driven distributed systems. Conventional solutions premised on centralized networks grapple with security challenges concerning authenticity, ...
The Transaction Aggregator ingests financial transaction data from three simulated sources, categorises each transaction using a rules engine with optional ML fallback, persists results to PostgreSQL, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results