Gaith Rjoub, Omar Abdul Wahab
, Jamal Bentahar and Ahmed Bataineh
Paper (2020)
Document published while its authors were not affiliated with Polytechnique Montréal
This item is not archived in PolyPublie
| PolyPublie URL: | https://publications.polymtl.ca/51735/ |
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| Conference Title: | Service-Oriented Computing |
| Conference Location: | Dubai, United Arab Emirates |
| Conference Date(s): | 2020-12-14 - 2020-12-17 |
| Editors: | Eleanna Kafeza, Boualem Benatallah, Fabio Martinelli, Hakim Hacid, Athman Bouguettaya and Hamid Motahari |
| Publisher: | Springer International Publishing |
| Date Deposited: | 18 Apr 2023 15:01 |
| Last Modified: | 18 Apr 2023 15:01 |
| Cite in APA 7: | Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. (2020, December). A trust and energy-aware double deep reinforcement learning scheduling strategy for federated learning on IoT devices [Paper]. Service-Oriented Computing, Dubai, United Arab Emirates. |
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