L-FGADMM

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 […]

NB-IoT Micro-Operator for Smart Campus

In recent years, many new radio-based connectivity solutions for the Internet of Things (IoT) have been proposed. At the same time, development […]

Mix2FLD

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 […]

D2D Assisted Beamforming for Coded Caching

Device-to-device (D2D) aided beamforming for coded caching is considered in a finite signal-to-noise ratio regime. A novel beamforming and resource allocation scheme […]

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