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Author

J. Kanimozhi

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Privacy‐Preserving Federated Deep Learning for 6G Network Security Monitoring

Deep federated learning (DFL) has emerged as an effective paradigm for privacy‐preserving decentralized intelligence in sixth‐generation mobile networks. Increasing deployment of intelligent network services introduces challenges associated with high communication overhead, susceptibility to model poisoning attacks,...

J. Kanimozhi, M. I. Shiny, A. Senthilkumar et al. · 0 citations
Conference Jul 2026

An LSTM-Driven Model for Accurate Agricultural Pest Risk Prediction

This research aims to build an effective predictive modeling system for agricultural pest risk using machine learning techniques and weather conditions. The study focuses on increasing prediction accuracy by checking deep learning models to help with timely and correct pest management decisions. In this research, we sa...

C. Kandasamy, B. Pradeepa, J. Kanimozhi et al. · 0 citations

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