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http://hdl.handle.net/20.500.12188/34012| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gobbetti, Alessandro | en_US |
| dc.contributor.author | Gjoreski, Martin | en_US |
| dc.contributor.author | Gjoreski, Hristijan | en_US |
| dc.contributor.author | Lane, Nicholas | en_US |
| dc.contributor.author | Langheinrich, Marc | en_US |
| dc.date.accessioned | 2025-09-04T07:23:45Z | - |
| dc.date.available | 2025-09-04T07:23:45Z | - |
| dc.date.issued | 2024-10 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/34012 | - |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.ispartof | IEEE Pervasive Computing | en_US |
| dc.title | FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables | en_US |
| dc.identifier.doi | 10.1109/mprv.2024.3475473 | - |
| dc.identifier.url | http://xplorestaging.ieee.org/ielx8/7756/10859196/10729612.pdf?arnumber=10729612 | - |
| dc.identifier.volume | 23 | - |
| dc.identifier.issue | 4 | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Journal Articles | |
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