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} }