5G Traffic Forecasting using Federated Learning
Author:
Affiliation:
1. Dr B R Ambedkar National Institute Of Technology,Department of Computer Science and Engineering,Jalandhar,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10176330/10176362/10177003.pdf?arnumber=10177003
Reference17 articles.
1. PyTorch: An Imperative Style, High-Performance Deep Learning Library;paszke;Advances in neural information processing systems,2019
2. Flower: A Friendly Federated Learning Research Framework;beutel;CoRR,2020
3. Communication-Efficient Learning of Deep Net19 works from Decentralized Data;mcmahan;Proceedings of the 20th International Conference on Artificial Intelligence and Statistics,2017
4. Array programming with NumPy
5. Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks
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2. Communication-Efficient Federated Learning for Real-time Applications in Edge Networks;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17
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