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Tember L. Nair

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#reinforcement learning Open access Aug 2026

Asynchronous Federated Reinforcement Learning for Adaptive Resource Slicing and Low-Latency Task Offloading in Heterogeneous 6G Edge Computing Networks

AF-EdgeRL is proposed, a novel Byzantine-resilient Asynchronous Federated Reinforcement Learning framework tailored for distributed resource allocation and dynamic task offloading and establishes theoretical convergence guarantees under non-convex reinforcement learning objectives.

Daniel Merrow, Tember L. Nair, Lucas Farnandez · International Journal of App... · 0 citations