Abstract: Split federated learning (SFL) has emerged as a promising paradigm to democratize machine learning (ML) on edge devices by enabling layer- wise model partitioning. However, existing SFL ...

Abstract: Edge-end collaborative learning trains models with exchanged knowledge through distributed interaction, alleviating the cloud’s burden. Edge-end heterogeneous collaborative learning further ...

In this exclusive DSM Plus episode, Slate writer Luke Winkie tells Anna about his reporting trip to an expensive Bay Area retreat called “Slutcon,” where women teach scores of inexperienced men how to ...