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Author

T.Muthumanickam

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Conference Jul 2026

Continual Learning Framework for Drift-Resilient and Autonomous IoT Intelligence

The ubiquitous use of Internet of Things (IoT) system in dynamic and real-life contexts presents a high level of challenges because of the constant changes in the data distributions, otherwise known as concept drift. The conventional machine learning models that are implemented in IoT systems are usually trained in sta...

T.Muthumanickam, L. S, D. Jayalakshmi et al. · 0 citations
Conference Jul 2026

6G-Integrated Federated Learning for Trustworthy and Scalable Edge-IoT Collaboration

The intersection of sixth-generation (6G) communication networks, edge computing, and federated learning offers a novel occasion regarding empowering trustful and scalable collaboration throughout distributed Internet of Things (IoT) ecosystems. Conventional centralized machine learning technology is plagued by severe...

T.Muthumanickam, D. Jayalakshmi, Sathiyamoorthy M et al. · 0 citations

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