Federated Learning for 5G Base Station Traffic Forecasting

Federated Learning for 5G Base Station Traffic Forecasting

28 November 2022

Nikolaos Pavlidis

R. Koutsiamanis

Papers citing "Federated Learning for 5G Base Station Traffic Forecasting"

10 / 10 papers shown

Title
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning Yiwei Zhang R. Behnia Imtiaz Karim A. Yavuz Elisa Bertino 11 0 0 11 May 2025
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction Theodoros Tsiolakis Nikolaos Pavlidis V. Perifanis P. Efraimidis 26 0 0 23 Dec 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 28 0 0 05 Nov 2024
Distributed Learning for Wi-Fi AP Load Prediction Dariush Salami Francesc Wilhelmi Lorenzo Galati-Giordano Mika Kasslin 19 0 0 22 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Qing Liu Sheng Sun Yuxuan Liang Jingjing Xue Min Liu AI4TS 19 2 0 04 Apr 2024
Intelligent Client Selection for Federated Learning using Cellular Automata Nikolaos Pavlidis V. Perifanis Theodoros Panagiotis Chatzinikolaou G. Sirakoulis P. Efraimidis 23 3 0 01 Oct 2023
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks V. Perifanis Nikolaos Pavlidis Selim F. Yilmaz F. Wilhelmi Elia Guerra M. Miozzo P. Efraimidis Paolo Dini R. Koutsiamanis 11 11 0 19 Sep 2023
Federated Learning for Early Dropout Prediction on Healthy Ageing Applications Christos Chrysanthos Nikolaidis V. Perifanis Nikolaos Pavlidis P. Efraimidis 18 4 0 08 Sep 2023
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 943 0 03 Feb 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 113 64 0 25 Jan 2021