Mérouane Debbah

Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design

2022 · arXiv (Cornell University)

In this paper, a green-quantized FL framework, which represents data with a finite precision level in both local training and uplink transmission, is proposed. Here, the finite precision level is captured through the use of …

Semantic-Native Communication: A Simplicial Complex Perspective

2022 · arXiv (Cornell University)

Semantic communication enables intelligent agents to extract meaning (or semantics) of information via interaction, to carry out collaborative tasks. In this paper, we study semantic communication from a topological space perspective, in which higher-order data …

Large Language Models for Knowledge-Free Network Management: Feasibility Study and Opportunities

2025 · IEEE Access

Traditional network management algorithms have relied on prior knowledge of system models and networking scenarios. In practice, a universal optimization framework is desirable where a sole optimization module can be readily applied to arbitrary network …