Author

H. B. J. A. J. Shaikh

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#federated learning Review Open access Oct 2026

An Efficient and Privacy-Preserving Framework for Edge AI Using Federated Learning and Homomorphic Encryption

Edge Artificial Intelligence (Edge AI) supports intelligent processing close to where data is generated. However, training machine-learning models across edge devices is difficult when devices have limited memory, processing power, battery capacity, and network bandwidth. Federated learning (FL) addresses one important...

P. P. C. Sanjivani Zite, H. B. J. A. J. Shaikh · International Journal of Adv... · 0 citations

Review Open access Oct 2026

Data Science for the Next Millennium: A Ubiquitous Review

Data science has grown from a set of statistical and computational techniques into a field that brings together different disciplines to turn complex data into useful insights. This review looks at how data science was defined, applied, and studied across different fields from 2018 to 2023. The review followed a struct...

P. P. C. Zine Sanskruti, H. B. J. A. J. Shaikh · International Journal of Adv... · 0 citations

#reinforcement learning Review Open access Oct 2026

Reinforcement Learning in Machine Learning

Reinforcement Learning (RL) is a machine-learning approach for problems in which decisions are made repeatedly and their quality becomes clear through feedback. Instead of depending on a fixed collection of labelled answers, an RL agent interacts with an environment, observes its changing state, receives rewards or pen...

P. P. C. Prerna Wayakole, H. B. J. A. J. Shaikh · International Journal of Adv... · 0 citations