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

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cs.NI2026

Leveraging Multi-Step Traffic Forecasts for Multi-Period Planning Optical Networks

Giannis Savva, Hafsa Maryam, Venkatesh Chebolu +2

In this work, multi-step traffic predictions are leveraged to enable multi-period planning in reconfigurable optical networks. The proposed framework aims to achieve spectrum savin…

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…