96 citations · 206 across the 14 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023
Deep Equilibrium Models Meet Federated Learning
Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis
In this study the problem of Federated Learning (FL) is explored under a new perspective by utilizing the Deep Equilibrium (DEQ) models instead of conventional deep learning networ…
cs.LG2022★ 3 cited
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…