As each year winds to a close, The Inquirer and Mirror takes a look back on a month-by-month basis at the highs and lows, the joy and heartbreak, that made ...
Abstract: Federated learning (FL) is a useful tool that enables the training of machine learning models over distributed data without having to collect data centrally. When deploying FL in constrained ...
Abstract: In this letter, we propose and experimentally demonstrate a novel three-dimensional 32-quadrature amplitude modulation (3D-32QAM) constellation in visible light communication systems, which ...
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