Abstract: federated learning (FL) is increasingly adopted in Internet of Things (IoT) ecosystems, where distributed devices collaboratively train machine learning models while preserving data privacy.

The idea that Artificial Intelligence can function as a public good requires scrutiny. The free-rider problem of public goods — people benefiting without paying for such goods — also applies to AI ...

Abstract: Federated Learning (FL) has made it possible to learn from data that would’ve otherwise not been possible due to privacy and security restrictions. FL relies on each client’s honest ...