2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.NI2024★ 2 cited
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg +2
Existing studies on federated learning (FL) are mostly focused on system orchestration for static snapshots of the network and making static control decisions (e.g., spectrum alloc…
cs.NI2023
Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks
Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra +2
Federated learning (FL) is a popular distributed machine learning (ML) technique in Internet of Things (IoT) networks, where resource-constrained devices collaboratively train ML m…