Abstract: Federated learning (FL) presents a promising paradigm for decentralized machine learning, particularly well-suited for data-sensitive cyber-physical systems (CPS) where privacy preservation ...

Abstract: In some applications, edge learning is experiencing a shift in focus from conventional learning from scratch to two-stage learning combining pre-training and task-specific fine-tuning. This ...

One vision of a future artificial intelligence (AI) is where many separate unitscan learn independently over a lifetime and share their knowledge with eachother. The synergy between lifelong learning ...

Nearly $2.5 billion in Bitcoin and Ethereum options expire today, setting up a potentially volatile end to the month as traders juggle upside bets with deep downside insurance. On the surface, ...