Urban Traffic Forecasting using Federated and Continual Learning
Author:
Affiliation:
1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA),Department of Signal Theory and Communications (TSC)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10084443/10084872/10084875.pdf?arnumber=10084875
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deep Learning for Reducing Redundancy in Madrid’s Traffic Sensor Network;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08
2. Federated Continual Learning via Knowledge Fusion: A Survey;IEEE Transactions on Knowledge and Data Engineering;2024-08
3. Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19
4. Fully Decentralized Client Selection for Energy-Efficient Federated Learning;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14
5. The Cost of Training Machine Learning Models Over Distributed Data Sources;IEEE Open Journal of the Communications Society;2023
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