Deep Reinforcement Learning for Client Selection and Resource Allocation in Federated Learning: A Comprehensive Survey
- DOI
- 10.1007/978-3-032-10486-1_49
- Published
- 2025-11-06
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-032-10486-1_49,
title = {Deep Reinforcement Learning for Client Selection and Resource Allocation in Federated Learning: A Comprehensive Survey},
author = {Mohammed Amir Messioud and Abdelhamid Malki and Samir Ouchani},
year = {2025},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-032-10486-1_49},
url = {https://doi.org/10.1007/978-3-032-10486-1_49}
}RIS
TY - JOUR TI - Deep Reinforcement Learning for Client Selection and Resource Allocation in Federated Learning: A Comprehensive Survey AU - Mohammed Amir Messioud AU - Abdelhamid Malki AU - Samir Ouchani PY - 2025 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-032-10486-1_49 UR - https://doi.org/10.1007/978-3-032-10486-1_49 ER -
APA
Messioud, M. A., Malki, A., & Ouchani, S. (2025). Deep Reinforcement Learning for Client Selection and Resource Allocation in Federated Learning: A Comprehensive Survey. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-032-10486-1_49
Source records
- crossref · retrieved 2026-09-27T03:40:37.994Z