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…time domain diffuse optics measurements of optical phantoms. The average optical power of 20 μW was achieved by the laser diode transmitter at the repetition rate of 500 kHz with…
End-to-end learning of a communications system using the deep learning-based autoencoder concept has drawn interest in recent research due to its simplicity, flexibility and its potential of adapting to complex…
This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) system, in which the UAV provides complementary computation resource to the terrestrial MEC system. The UAV processes the received…
…in a real environment. It will also be important to connect the car to the 5G test network administered by the university, which can also be used to explore communication…
…combines the development of future wireless technologies with new business models and new regulatory propositions and thus enables the creation of completely new application and service concepts based on them….
…new information generation where quantum-based computer can be seen in many living fields. Since the quantum algorithms and quantum communication protocols need to be verified before applying on chip set…
This article proposes a communication-efficient decentralized deep learning algorithm, coined layer-wise federated group ADMM (L-FGADMM). To minimize an empirical risk, every worker in L-FGADMM periodically communicates with two neighbors, in…
This letter proposes a novel communication-efficient and privacy-preserving distributed machine learning framework, coined Mix2FLD. To address uplink-downlink capacity asymmetry, local model outputs are uploaded to a server in the uplink…
…can practically be implemented in both centralized and decentralized manner. The numerical examples illustrate the superior system performance of the proposed method in comparison to the conventional half-duplex relaying system….