Enterprise architecture, with increasing frequencies, is based on multiple databases that split the enterprise data among itself and store them on separate database servers. Such a scheme enables an effective load balancing and management of enterprise data. However, my splitting data over multiple databases make it challenging to build a unified data provenance view of … full description “Data Provenance for Multi-Database Servers Enterprise Architecture (completed)”
Category: Compliance and Auditing
Federated Machine Learning – Security and Privacy Evaluation Framework (available)
Project Description User data is essential for many of the modern business operations, especially related to the building consumer segmentation and profiling – for marketing and services personalisation. Dealing with user data has its positive and negatives, especially after the General Data Protection Regulation (GDPR) collecting and storing user’s personal data. Centralised machine learning approaches … full description “Federated Machine Learning – Security and Privacy Evaluation Framework (available)”