5 citations · 11 across the 6 of their papers we have counts for
7 papers
Understanding the Energy Scaling of Large Language Model Inference Across Context Lengths and Attention Architectures
Molka Chkir, Syed Muhammad Danish, Jos Höll +1
The growing adoption of large language models (LLMs) has raised increasing concerns about the energy consumption and environmental impact of inference. This paper presents a system…
Open-Source LLM-Driven Federated Transformer for Predictive IoV Management
Yazan Otoum, Arghavan Asad, Ishtiaq Ahmad
The proliferation of connected vehicles within the Internet of Vehicles (IoV) ecosystem presents critical challenges in ensuring scalable, real-time, and privacy-preserving traffic…
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
Yazan Otoum, Arghavan Asad, Amiya Nayak
The increasing complexity and scale of the Internet of Things (IoT) have made security a critical concern. This paper presents a novel Large Language Model (LLM)-based framework fo…
LLMs meet Federated Learning for Scalable and Secure IoT Management
Yazan Otoum, Arghavan Asad, Amiya Nayak
The rapid expansion of IoT ecosystems introduces severe challenges in scalability, security, and real-time decision-making. Traditional centralized architectures struggle with late…
Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security
Yazan Otoum, Arghavan Asad, Amiya Nayak
Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber thr…
Energy-efficient Non Uniform Last Level Caches for Chip-multiprocessors Based on Compression
Pooneh Safayenikoo, Arghavan Asad, Mahmood Fathy
With technology scaling, the size of cache systems in chip-multiprocessors (CMPs) has been dramatically increased to efficiently store and manipulate a large amount of data in futu…