406 citations · 414 across the 6 of their papers we have counts for
14 papers
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient
Afsaneh Mahmoudi, José Mairton Barros Da Silva Júnior, Hossein S. Ghadikolaei +1
Federated Learning (FL) plays a prominent role in solving machine learning problems with data distributed across clients. In FL, to reduce the communication overhead of data betwee…
Location-Aided Beamforming in Mobile Millimeter-Wave Networks
Sara Khosravi, Hossein S. Ghadikolaeiy, Jens Zander +1
Due to the large bandwidth available, millimeter-Wave (mmWave) bands are considered a viable opportunity to significantly increase the data rate in cellular and wireless networks.…
Learning-based Load Balancing Handover in Mobile Millimeter Wave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
Millimeter-wave (mmWave) communication is a promising solution to the high data rate demands in the upcoming 5G and beyond communication networks. When it comes to supporting seaml…
A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks
Hossein S. Ghadikolaei, Hadi Ghauch, Gabor Fodor +2
Inter-operator spectrum sharing in millimeter-wave bands has the potential of substantially increasing the spectrum utilization and providing a larger bandwidth to individual user…
Communication-efficient Variance-reduced Stochastic Gradient Descent
Hossein S. Ghadikolaei, Sindri Magnusson
We consider the problem of communication efficient distributed optimization where multiple nodes exchange important algorithm information in every iteration to solve large problems…
Efficient Beamforming for Mobile mmWave Networks
Sara Khosravi, Hossein S. Ghadikolaei, Marina Petrova
We design a lightweight beam-searching algorithm for mobile millimeter-wave systems. We construct and maintain a set of path skeletons, i.e., potential paths between a user and the…