Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...

Abstract: Federated learning (FL) is an emerging privacy-preserving distributed learning paradigm that enables multiple clients to collaboratively train a shared model by exchanging model parameters ...

AI researcher Anmol Aggarwal explains how fairness-aware pricing algorithms can reduce hidden bias without major revenue loss ...