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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

Senbaga Kumar Sigamani

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Conference Aug 2026

Diffusion Based RF Signal Generation and Augmentation for Automatic Modulation Classification in 6G Networks

Automatic Modulation Classification (AMC) is a vital enabling technology for intelligent spectrum sensing and cognitive radio in future AI-native 6G networks. However, the low diversity of labelled radio frequency (RF) datasets and limited availability of labelled RF datasets limit the performance of deep learning-base...

Senbaga Kumar Sigamani, Rekha Gajendran, Arun Ayilliath Keezhadath et al. · 0 citations
Conference Aug 2026

Federated Edge Intelligence for Privacy Preserving Livestock Disease Prediction in Smart Farming Environments

The rising adoption of smart farming technologies has enabled new approaches to predict early stages of livestock diseases through continuous monitoring of physiological and behavioural parameters. But conventional cloud centric approaches raise serious concerns about data privacy, communication overhead and scalabilit...

Radhe Saravana Perumal, Kumarasenthil Muthuvel, Jawaharbabu Jeyaraman et al. · 0 citations
Conference Aug 2026

Privacy-Preserving Federated Learning Framework Using Dynamic Privacy for Network Intrusion Detection in Cloud Computing

Cloud computing has expanded rapidly with the adoption of distributed applications and network-based services, generating large-scale, heterogeneous traffic that requires efficient, privacy-preserving intrusion detection. Conventional intrusion detection systems suffer from limitations such as centralised data dependen...

Senbaga Kumar Sigamani, Abdul Samad Mohammed, Amsa Selvaraj et al. · 0 citations

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