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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Communication-Efficient Federated Learning: A Systematic Review of Model Compression and Aggregation Techniques

2025Artificial Intelligence and ApplicationsJournalOpen access

10.47852/bonviewaia52026275 Full text3 citations

Authors

5 authors across 3 institutions in 1 country.

Femi JohnsonFirst author
- Federal University of Agriculture, Abeokuta (NG)
as printed: Femi Temitope Johnson
Elugbadebo Oladapo
- Federal College of Education, Kano (NG)
Olukumoro Olugbenga
- Yaba College of Technology (NG)
Alomaja Victor
- Yaba College of Technology (NG)
Akande AdenikeSenior author
- Federal College of Education, Kano (NG)

Fields

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

Privacy-Preserving Technologies in Datalevel 3 · 0.88
Cryptography and Data Securitylevel 3 · 0.02
Big Data and Digital Economylevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2025 · Artificial Intelligence and Applications · 3 citations
https://openalex.org/W4417355764

Communication-Efficient Federated Learning: A Systematic Review of Model Compression and Aggregation Techniques · Sankore