Distributed Swarm Learning for Efficient and Robust Edge Internet of Things

Distributed swarm learning (DSL) combines artificial intelligence and biological swarm intelligence to provide efficient and robust solutions for large-scale edge Internet of Things (IoT) systems, addressing key challenges such as communication bottlenecks, non-convex optimization, data and device heterogeneity, privacy and security concerns, and complex network environments.