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Conference Aug 2026

Exploring Distributed and Federated Machine Learning: Models, Applications, and Open Challenges

Distributed and federated machine learning is merged a critical paradigm to enabling scalable, efficient, and privacy-preserving artificial intelligence in contemporary datadriven ecosystems. With the ever-increasing complexity of machine learning models and the scale of datasets generated from a wide variety of source...

Anbu S, E. Nalina, B. Saratha et al. · 0 citations

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