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Author

A. T. Akabane

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Open access Jul 2026

A Lightweight Deep Learning Approach for Autonomous Detection of Risky Infant Sleep Postures

This study develops a high-performance, non-invasive vision-based system for the autonomous detection of risky infant postures and establishes a robust computational foundation for future privacy-preserving, localized monitoring solutions that can provide immediate, life-saving alerts in home environments.

Gabriel L. Pirotello, A. T. Akabane, D. C. González · 0 citations
Conference Jul 2026

Improving Federated Learning under Non-IID Data through Clustered Ensembles and Adaptive Client Selection

Federated Learning (FL) enables collaborative model training without sharing raw data, but its effectiveness degrades under Non-IID client data and inefficient participation. In such settings, FedAvg may exhibit slow convergence, high variance across rounds, and elevated communication overhead. We propose a clustered e...

Artur Sousa Freitas, A. T. Akabane, J. Estrella · 0 citations

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