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Y. Eldar

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#machine learning Preprint Sep 2026

Over-the-Air Federated Learning in Heterogeneous Mobile Wireless Networks

Over-the-air computation has emerged as a scalable and efficient solution for deploying federated learning algorithms in wireless networks by exploiting waveform superposition for simultaneous model aggregation. Most existing work struggles with heterogeneous fading channels. These approaches either enforce unbiased up...

Ming Xiang, Nicolò Michelusi, Y. Eldar et al. · 0 citations
Review Open access Aug 2026

Toward Intelligent Skies: Signal Processing and AI Foundations of Low-Altitude Wireless Networks

This tutorial presents a comprehensive treatment of LAWNs from the joint perspectives of artificial intelligence (AI) and signal processing, and highlights opportunities for LAWNs to evolve into dependable, AI-native infrastructure for the intelligent skies.

Weijie Yuan, Geng Sun, Jia-Cheng Wang et al. · 0 citations

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