Mar 10, 2019 · This paper proposes a scalable Gaussian process (GP) framework as a promising solution to achieve large-scale wireless traffic prediction in a ...

Mar 10, 2019 · This paper proposes a scalable Gaussian process (GP) framework as a promising solution to achieve large-scale wireless traffic prediction in a ...

Experimental results show that our proposed scalable GP model can outperform the state-of-the-art approaches considerably, in terms of wireless traffic ...

This paper is the first to empower GP regression with the alternating direction method of multipliers (ADMM) for parallel hyper-parameter optimization in ...

Abstract—The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent requirements of the fifth generation (5G) wireless systems.

Mar 22, 2023 · Based on existing related research, this paper proposes a gradient similarity-based federated aggregation algorithm for wireless traffic ...

Oct 11, 2021 · In this work, we propose a novel wireless traffic prediction framework named Dual Attention-Based Federated. Learning (FedDA), by which a high- ...

Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification ... Process: Framework, Algorithms, and Verification.

Mar 22, 2024 · S. ,. 2019 . Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification . IEEE Journal on Selected ...

Scalable Learning Paradigms for Data-Driven Wireless ... Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification.