Performance Analysis of a Decentralized Federated Learning System for Spoken-Command Recognition: Resilience and Security Considerations
In the industrial edge-to-cloud continuum, data is often privacy-sensitive and spans multiple organizations that do not fully trust one another, making central aggregation of raw data undesirable and often non-compliant with regulations such as the General Data Protection Regulation (GDPR). Federated Learning (FL) addr...