Communication Efficient Decentralized Learning Over Bipartite Graphs
In this paper, we propose a communication-efficiently decentralized machine learning framework that solves a consensus optimization problem defined over a network of […]
Noncoherent Joint Transmission Beamforming for Dense Small Cell Networks
We investigate the coordinated multi-point noncoherent joint transmission (JT) in dense small cell networks. The goal is to design beamforming vectors for […]
Signal Reconstruction of Compressed Sensing Based on Alternating Direction Method of Multipliers
The sparse signal reconstruction of compressive sensing can be accomplished by \(l_1\)-norm minimization, but in many existing algorithms, there are the problems […]