Abstract: Federated Learning (FL) is a collaborative machine learning (ML) framework that combines on-device training and server-based aggregation to train a common ML model among distributed agents.

Debugging isn’t just guessing.

Finishing AP Computer Science Principles is a major milestone, but the leap from block-based coding to real-world JavaScript can feel daunting. Fortunately, the landscape has evolved: Code.org has ...

Abstract: Data generated at the network edge can be processed locally by leveraging the emerging technology of Federated Learning (FL). However, non-IID local data will lead to degradation of model ...