Takayuki Nishio

MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks

2020 · arXiv (Cornell University)

This paper proposes a client selection method for federated learning (FL) when the computation and communication resource of clients cannot be estimated; the method trains a machine learning (ML) model using the rich data and …

$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI

2023 · arXiv (Cornell University)

In the wake of the burgeoning expansion of generative artificial intelligence (AI) services, the computational demands inherent to these technologies frequently necessitate cloud-powered computational offloading, particularly for resource-constrained mobile devices. These services commonly employ prompts …