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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Adversarial Training and Differential Privacy-Style Noise Injection for Privacy-Preserving Vertical Federated Learning

2026InformaticsJournalOpen access

10.3390/informatics13080127 Full text0 citations

Authors

7 authors across 3 institutions in 2 countries.

Nureni Ayofe AZEEZFirst authorCorresponding
- University of Lagos (NG)
as printed: Nureni Ayofe Azeez
Oluwatobi Sunday Malomo
- University of Lagos (NG)
Omotolani Mary Okerinde
- University of Lagos (NG)
Abdullateef Akorede Ademoye
- University of Lagos (NG)
Damilola Seun Aaron
- University of Lagos (NG)
Charles VanDer Vyver
- Vaal University of Technology (ZA)
as printed: Charles Van Der Vyver
Chijioke Erasmus OgbonnaSenior author
- Federal University of Technology Owerri (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Privacy-Preserving Technologies in Datalevel 3 · 0.83
Adversarial Robustness in Machine Learninglevel 3 · 0.12
Advanced Graph Neural Networkslevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Informatics · 0 citations
https://openalex.org/W7202045537

Adversarial Training and Differential Privacy-Style Noise Injection for Privacy-Preserving Vertical Federated Learning · Sankore