Data Heterogeneity

Innovating Federated Learning: Harnessing the Power of Data Heterogeneity

Federated learning has already proven to be a game-changer in privacy-preserving AI systems. By addressing the challenges posed by data heterogeneity, Kuldeep Deshwal has presented a comprehensive overview of how innovative strategies can be employed to enhance federated learning. Jun 16, 2025
Anomaly Detection

Human-Centric Decision Support via AI in Streaming Anomaly Detection

Innovations like self-supervised learning, federated anomaly detection, and neuromorphic computing promise greater strides. These technologies reduce reliance on labeled data, enable cross-organizational insight sharing with privacy, and enhance energy efficiency and speed. Jun 16, 2025