Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications

no code implementations • 8 Oct 2023 • Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi, Behrouz Maham, Tohid Alizadeh, Sina Ebrahimi

In the realm of machine learning (ML) systems featuring client-host connections, the enhancement of privacy security can be effectively achieved through federated learning (FL) as a secure distributed ML methodology.

Federated Learning

Modeling RIS Empowered Outdoor-to-Indoor Communication in mmWave Cellular Networks

no code implementations • 4 Jan 2021 • Mahyar Nemati, Behrouz Maham, Shiva Raj Pokhrel, Jinho Choi

With the increasing adoption of millimeter-waves (mmWave) over cellular networks, outdoor-to-indoor (O2I) communication has been one of the challenging research problems due to high penetration loss of buildings.