Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers.
Meriem Arbaoui|Mohamed-el-Amine Brahmia|Abdellatif Rahmoun|Mourad Zghal
| Anthology ID: | DBLP:journals/tist/ArbaouiBRZ24 |
|---|---|
| Year: | 2024 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 113:1-113:69 |
| URL: | https://doi.org/10.1145/3678182 |
| DOI: | https://doi.org/10.1145/3678182 |
| DBLP: | journals/tist/ArbaouiBRZ24 |
| BibTeX: |
@article{arbaoui-2024-federated,
author = {Meriem Arbaoui and
Mohamed-el-Amine Brahmia and
Abdellatif Rahmoun and
Mourad Zghal},
title = {{Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {15},
number = {6},
pages = {113:1--113:69},
year = {2024},
url = {https://doi.org/10.1145/3678182},
doi = {https://doi.org/10.1145/3678182}
}