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#federated learning Open access Oct 2026

Resilient 6G Optical-Wireless Convergence with Federated, Hierarchical Reinforcement Learning, and Triple Connectivity

The sixth generation (6G) mobile network demands exceptional resilience to support mission-critical applications such as remote surgery, autonomous driving, and industrial automation. Conventional architectures typically separate the wireless access and optical transport domains, which limits coordination and increases...

B. Nleya, M. Molefe · 0 citations
#graph neural networks Open access Oct 2026

A Federated Graph Learning Framework for Autonomous Resource Optimization in Cognitive Radio Networks

The Cognitive Federated Graph Learning (CFGL) framework is introduced to jointly optimise three interdependent resources in cognitive radio networks: (i) frequency channel allocation for secondary-user transmissions, (ii) routing paths for multi-hop packet traversal, and (iii) transmit-power budgets as determined by pe...

B. Nleya, Zanele Mtiyane · 0 citations

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