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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

O. Pandey

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2026

HFSL-CUNs: A Hierarchical Federated Split Learning Framework for Cluster-Based and UAV-Assisted Edge-Fog-Cloud Networks

The increasing deployment of Internet of Things (IoT) applications has created a growing need for distributed learning frameworks that can operate efficiently across resource-constrained edge environments while preserving data privacy. Federated Learning (FL) enables collaborative model training without sharing raw dat...

Dhiraj Pandey, Pranav Singla, Siddharth Pal et al. · 0 citations
#reinforcement learning Aug 2026

Enhancing PLS in UAV-Aided Backscatter Networks: A Multiagent DRL Framework with Federated Learning

In recent years, enhancing physical layer security (PLS) in UAV-aided backscatter networks has received huge attention among the research community due to its various applications, such as smart farming, cognitive healthcare, and intelligent industrial automation, among others. It results in secure and reliable data tr...

Shivam Sarsawat, Korampalli Jaya Satwik, M. K. Shukla et al. · 0 citations
Open access 2026

QEGT-Based Adaptive Routing for Energy-Efficient and Reliable Communication in UAV Swarm Networks

This study proposes an intelligent Q-learning-enhanced Evolutionary Game Theory (QEGT) routing mechanism for USNs that leverages game-theoretic incentives and Q-learning to adaptively select strategies.

Anita Murmu, Saurabh Kumar Srivastava, Nuthan Chingeetham et al. · 0 citations

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