most citedA Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning

Saroj Kumar Panda, Basabdatta Palit, Sadananda Behera

We propose FedNET, a proactive and privacy-preserving framework for early identification of high-risk links in large-scale communication networks, that leverages a distributed mult…

cs.NI2025★ 7 cited

A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation

Saroj Kumar Panda, Tania Panayiotou, Georgios Ellinas +1

In the beyond 5G era, AI/ML empowered realworld digital twins (DTs) will enable diverse network operators to collaboratively optimize their networks, ultimately improving end-user…