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cs.LG2026
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…
cs.LG2025
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…