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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Mohamed Rihan

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Open access 2026

Clustered Federated Learning With Contrastive Loss and Staleness-Aware Aggregation for LEO Satellite Constellations

Model Contrastive Federated Learning bridges the gap between distributed learning theory and practical satellite constraints, offering a scalable solution for real-time ML applications in dynamic space-terrestrial networks.

Ren Ozeki, Mohamed Rihan, Hamada Rizk et al. · 0 citations
Open access 2026

Dynamic Role Allocation in Cooperative Secure UAV-ISAC Networks

Numerical results demonstrate that the proposed dynamic-role architecture consistently outperforms both a static dedicated-jammer scheme and a fully optimized all-ISAC embedded-AN benchmark, confirming that its secrecy advantage arises from adaptive spatial-functional specialization rather than from artificial-noise transmission alone.

M. M. Selim, Mohamed Rihan, Armin Dekorsy et al. · 0 citations

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