Mali, S.; Zeng, F.; Adhikari, D.; Ullah, I.; Al-Khasawneh, M.A.; Alfarraj, O.; Alblehai, F.
Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications. Sensors 2025, 25, 2197.
https://doi.org/10.3390/s25072197
AMA Style
Mali S, Zeng F, Adhikari D, Ullah I, Al-Khasawneh MA, Alfarraj O, Alblehai F.
Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications. Sensors. 2025; 25(7):2197.
https://doi.org/10.3390/s25072197
Chicago/Turabian Style
Mali, Saroj, Feng Zeng, Deepak Adhikari, Inam Ullah, Mahmoud Ahmad Al-Khasawneh, Osama Alfarraj, and Fahad Alblehai.
2025. "Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications" Sensors 25, no. 7: 2197.
https://doi.org/10.3390/s25072197
APA Style
Mali, S., Zeng, F., Adhikari, D., Ullah, I., Al-Khasawneh, M. A., Alfarraj, O., & Alblehai, F.
(2025). Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications. Sensors, 25(7), 2197.
https://doi.org/10.3390/s25072197