IEEE

The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning

Abstract: Personalized federated learning (PFL) allows clients to collaboratively train their personalized models to handle situations where data from different clients are not independent and ...
IEEE

Utilizing Additional Personalized Representations for Personalized Federated Learning

Abstract: Federated learning (FL) allows multiple devices to collaboratively train models while preserving data privacy. Recently, personalized federated learning (pFL) has attracted significant ...

When Learning Meets EdTech And Finally Becomes The Work

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...