Toward Scalable and Robust AIoT via Decentralized Federated Learning

As Artificial Intelligence of Things (AIoT) has become increasingly important for modern AI applications, federated learning (FL) is envisioned to be the enabling technology for AIoT, especially for large-scale, data privacy-preserving scenarios. However, most existing FL is managed in a centralized manner (CFL), which confronts the limitations of scalability given the AioT device explosion. The k...