Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/164669| Author(s): | Miguel Ângelo Gaspar Ramos |
| Title: | Advancements in Vertical Federated Learning: Utility Preservation with Lightweight Models |
| Issue Date: | 2024-12-16 |
| Subject: | Ciências exactas e naturais Natural sciences |
| Scientific areas: | Ciências exactas e naturais Natural sciences |
| DOI: | 10.34626/rg8b-fh23 |
| TID identifier: | 203809017 |
| URI: | https://hdl.handle.net/10216/164669 |
| Document Type: | Dissertação |
| Rights: | embargoedAccess |
| Embargo End Date: | 2027-12-15 |
| Appears in Collections: | FCUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 702889.pdf Restricted Access | Advancements in Vertical Federated Learning: Utility Preservation with Lightweight Models | 1.3 MB | Adobe PDF | View/Open |
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