Now showing items 1-3 of 3
Integrating variability management in data center networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Data centers have an important role in supporting cloud computing services (i.e. checking social media, sending emails, video conferencing, .). Hence, data centers topologies design became more important and must be able ...
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
(
IEEE
, 2022 , Conference Paper)
Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ...
Joint learning and optimization for Federated Learning in NOMA-based networks
(
Elsevier
, 2023 , Article)
Over the past decade, the usage of machine learning (ML) techniques have increased substantially in different applications. Federated Learning (FL) refers to collaborative techniques that avoid the exchange of raw data ...