Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Abstract: This study addresses the challenge of real-time telemetry data acquisition for unmanned vehicle applications, where traditional Wi-Fi-based communication is inadequate. The proposed ...
Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of ...
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