We talked with Nick Callegari ’25, Dianna Liu ’18, and Ariana Yuen ’19 about the unique challenges faced by founders trying ...
Abstract: This paper addresses the task allocation problem for time-sensitive tasks on construction sites within the edge-cloud system framework. Task completion rate serves as a critical metric for ...
Abstract: Federated multi-task learning (FMTL) is a promising technology to tackle one of the most severe non-independent and identically distributed (non-IID) data challenge in federated learning (FL ...