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Resource-Efficient Federated Hyperdimensional Computing
In conventional federated hyperdimensional computing (HDC), training larger models usually results in higher predictive performance but also requires more computational, communication, and energy resources.
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
Today, various machine learning (ML) applications offer continuous data processing and real-time data analytics at the edge of a wireless network.
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