# Secrecy Rate Maximization for THz-Enabled Femto Edge Users using Deep Reinforcement Learning in 6G

> Research article (IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022) · cited 12× · AI/ML

**Wikidata**: [openalex:W4283212789](https://www.wikidata.org/wiki/openalex:W4283212789)  
**Source**: https://4ort.xyz/entity/secrecy-rate-maximization-for-thz-enabled-femto-edge-users-using-deep-reinforcement-learning-in-6g