Secure and Robust AI-Driven Beamforming for Terahertz (THz) 6G Networks: A Federated Learning Approach

Rahmati, Milad (2025) Secure and Robust AI-Driven Beamforming for Terahertz (THz) 6G Networks: A Federated Learning Approach. EAI Endorsed Transactions on Mobile Communications and Applications.

[thumbnail of 79762.pdf] PDF
79762.pdf

Download (1MB)

Abstract

The rapid evolution of wireless communication has driven the need for sixth-generation (6G) networks, which aim to deliver unprecedented data rates, ultra-low latency, and seamless connectivity. Terahertz (THz) frequencies are a cornerstone of 6G technology due to their vast spectrum availability, b

Item Type: Article
Date Deposited: 04 Mar 2026 20:22
Last Modified: 10 Apr 2026 17:43
URI: http://eprints.eai.eu/id/eprint/60362

Actions (login required)

View Item
View Item