73 citations · 167 across the 38 of their papers we have counts for
5 papers · 1 filter
5G Network Automation Using Local Large Language Models and Retrieval-Augmented Generation
Ahmadreza Majlesara, Ali Majlesi, Ali Mamaghani +2
This demonstration showcases the integration of a lightweight, locally deployed Large Language Model (LLaMA-3 8b Q-4b) empowered by retrieval augmented generation (RAG) to automate…
Automated Fault Detection in 5G Core Networks Using Large Language Models
Parsa Hatami, Ahmadreza Majlesara, Ali Majlesi +1
With the rapid growth of data volume in modern telecommunication networks and the continuous expansion of their scale, maintaining high reliability has become a critical requiremen…
Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes
Seyed Amir Hossein Saberi, Amir Najafi, Abolfazl Motahari +1
In this paper, we establish sample complexity bounds for learning high-dimensional simplices in from noisy data. Specifically, we consider i.i.d. samples uniform…
\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party
Ali Rahimi, Babak H. Khalaj, Mohammad Ali Maddah-Ali
Verifiable computing (VC) has gained prominence in decentralized machine learning systems, where resource-intensive tasks like deep neural network (DNN) inference are offloaded to…
Using Test-Time Data Augmentation for Cross-Domain Atrial Fibrillation Detection from ECG Signals
Majid Soleimani, Maedeh H. Toosi, Siamak Mohammadi +1
Atrial fibrillation (AF) detection from electrocardiogram (ECG) signals is crucial for early diagnosis and management of cardiovascular diseases. However, deploying robust AF detec…