Analysis and Implementation of Different Open-Source Federated Learning Frameworks to Assess their Technical Implications /
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| Glavni autor: | |
|---|---|
| Format: | Disertacija Knjiga |
| Jezik: | engleski |
| Izdano: |
Guadalajara, México :
edición de autor,
2025
|
| Teme: | |
| Online pristup: | Ver documento en línea |
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Slični predmeti: Analysis and Implementation of Different Open-Source Federated Learning Frameworks to Assess their Technical Implications /
- A Comparative Analysis of Algorithms to Address the Imbalanced Dataset Problem in Federated Learning /
- Schemes Based on Federated Learning for Decentralized Training in Machine Learning Models /
- Regularization of Visual Transformers and Reinforcement Learning :
- Machine Learning Techniques for Electrical Validation Enhancement Processes /
- Deep Learning Technique for Image Classification by Segmentation /
- Levenberg-Marquardt Algorithm /
