Fed-DART and FACT: A solution for Federated Learning in a production environment

• DOI: 10.48550/arxiv.2205.11267
• Publication Date: 2022-01-01
• Authors: Nico Weber; Patrick Holzer; Tania Jacob; Enislay Ramentol
• Keywords: Leverage (statistics); Business Intelligence; Federated Learning

Federated Learning as a decentralized artificial intelligence (AI) solution solves variety of problems in industrial applications. It enables continuously self-improving AI, which can be deployed everywhere at the edge. However, bringing AI to production for generating real business impact is challenging task. Especially case Learning, expertise and resources from multiple domains are required realize its full potential. Having this mind we have developed an innovative framework FACT based on Fed-DART, enabling easy scalable deployment, helping user fully leverage potential their private data.