4 citations · 7 across the 5 of their papers we have counts for
5 papers
Efficient Fully Distributed Federated Learning with Adaptive Local Links
Evangelos Georgatos, Christos Mavrokefalidis, Kostas Berberidis
Nowadays, data-driven, machine and deep learning approaches have provided unprecedented performance in various complex tasks, including image classification and object detection, a…
A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems
Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis
In this paper, we study the problem of sparse channel estimation via a collaborative and fully distributed approach. The estimation problem is formulated in the angular domain by e…
Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems
Stavros Nousias, Erion-Vasilis Pikoulis, Christos Mavrokefalidis +1
Automotive Cyber-Physical Systems (ACPS) have attracted a significant amount of interest in the past few decades, while one of the most critical operations in these systems is the…
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks
Erion-Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
Deep learning and especially the use of Deep Neural Networks (DNNs) provides impressive results in various regression and classification tasks. However, to achieve these results, t…
Coalition Formation Games for Improved Cell-Edge User Service in Downlink NOMA and MU-MIMO Small Cell Systems
Panagiotis Georgakopoulos, Tafseer Akhtar, Christos Mavrokefalidis +3
In today's wireless communication systems, the exponentially growing needs of mobile users require the combination of new and existing techniques to meet the demands for reliable a…