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Eunjeong Jeong

DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks

This paper introduces DRACO, a decentralized and asynchronous federated learning framework tailored for wireless networks where communication delays, node heterogeneity, and topology variations make traditional synchronous FL inefficient. Unlike centralized approaches, DRACO removes the need for a server and allows… Read More »DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks

Enhancing 6G Security with Zero-Touch Automation: Insights from ROBUST-6G Deliverable 4.1

As 6G networks promise unparalleled connectivity with ultra-low latency, high bandwidth, and multi-domain interoperability, they also face an increasingly complex security landscape. The integration of advanced AI/ML-driven automation in network management introduces new opportunities but also heightens the potential risks… Read More »Enhancing 6G Security with Zero-Touch Automation: Insights from ROBUST-6G Deliverable 4.1