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Abstract: Parallel Split Learning (SL) allows resource-constrained devices that cannot participate in Federated Learning (FL) to train deep neural networks (NNs) by splitting the NN model into parts.

Abstract: This paper addresses the challenge of optimizing handover (HO) performance in non-terrestrial networks (NTNs) to enhance user equipment (UE) effective service time, defined as the active ...

1 Department of Chemical Engineering, Universidad de Antioquia, Medellín, Colombia 2 PoreLab, Department of Chemistry, Norwegian University of Science and Technology, NTNU, Trondheim, Norway Ammonia ...