3 papers
cs.LG2024
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge
Sifat Ut Taki, Arthi Padmanabhan, Spyridon Mastorakis
Edge AI computing boxes are a new class of computing devices that are aimed to revolutionize the AI industry. These compact and robust hardware units bring the power of AI processi…
cs.LG2024
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
Sifat Ut Taki, Spyridon Mastorakis
Training a proprietary Neural Network (NN) model with a proprietary dataset on the cloud comes at the risk of exposing the model architecture and the dataset to the cloud service p…
cs.LG2024
UnifiedNN: Efficient Neural Network Training on the Cloud
Sifat Ut Taki, Arthi Padmanabhan, Spyridon Mastorakis
Nowadays, cloud-based services are widely favored over the traditional approach of locally training a Neural Network (NN) model. Oftentimes, a cloud service processes multiple requ…