1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Gem5Pred: Predictive Approaches For Gem5 Simulation Time
Tian Yan, Xueyang Li, Sifat Ut Taki +1
Gem5, an open-source, flexible, and cost-effective simulator, is widely recognized and utilized in both academic and industry fields for hardware simulation. However, the typically…
Rethinking Internet Communication Through LLMs: How Close Are We?
Sifat Ut Taki, Spyridon Mastorakis
In this paper, we rethink the way that communication among users over the Internet, one of the fundamental outcomes of the Internet evolution, takes place. Instead of users communi…