2 papers
cs.NI2025
Dynamic Adaptive Federated Learning for mmWave Sector Selection
Lucas Pacheco, Torsten Braun, Kaushik Chowdhury +3
Beamforming techniques use massive antenna arrays to formulate narrow Line-of-Sight signal sectors to address the increased signal attenuation in millimeter Wave (mmWave). However,…
cs.LG2024
Adaptive Client Selection with Personalization for Communication Efficient Federated Learning
Allan M. de Souza, Filipe Maciel, Joahannes B. D. da Costa +4
Federated Learning (FL) is a distributed approach to collaboratively training machine learning models. FL requires a high level of communication between the devices and a central s…