Distributed learning for wireless communications: Methods, applications and challenges
With its privacy-preserving and decentralized features, distributed learning plays an
irreplaceable role in the era of wireless networks with a plethora of smart terminals, an …
irreplaceable role in the era of wireless networks with a plethora of smart terminals, an …
[HTML][HTML] An ADMM approach for elliptic positioning in non-line-of-sight environments
Elliptic positioning (EP) has recently emerged as a prevailing subject within localization
research, holding significant relevance for a variety of multistatic systems including …
research, holding significant relevance for a variety of multistatic systems including …
Hybrid LMMSE transceiver optimization for distributed IoT sensing networks with different levels of synchronization
In this article, we investigate the analog–digital hybrid transceiver optimization for distributed
Internet-of-Things (IoT) sensing networks consisting of a multiantenna fusion center (FC) …
Internet-of-Things (IoT) sensing networks consisting of a multiantenna fusion center (FC) …
Distributed Optimisation under a Weight-unbalanced Digraph
PP Pradhan, A Sen, M Kothari… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Distributed optimisation (DO) problems in application to networked multi-agent system
(MAS) have been an intriguing topic for research among different research communities …
(MAS) have been an intriguing topic for research among different research communities …
Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers
K Lee, S Hwangbo, D Yang, G Lee - International Journal of …, 2023 - Springer
Deep learning has shown excellent performance in numerous machine-learning tasks, but
one practical obstacle in deep learning is that the amount of computation and required …
one practical obstacle in deep learning is that the amount of computation and required …