Publication:
Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning
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| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0002-3232-3029 | |
| cris.virtual.orcid | 0000-0001-9300-5860 | |
| cris.virtual.orcid | 0000-0002-1774-2970 | |
| cris.virtual.orcid | 0000-0002-0845-6155 | |
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| cris.virtualsource.orcid | ba7b5bee-bb97-47de-a137-fd8e1a08d07a | |
| dc.contributor.author | Chen, Yiming | |
| dc.contributor.author | Abrahamyan, Lusine | |
| dc.contributor.author | Sahli, Hichem | |
| dc.contributor.author | Deligiannis, Nikolaos | |
| dc.contributor.imecauthor | Chen, Yiming | |
| dc.contributor.imecauthor | Abrahamyan, Lusine | |
| dc.contributor.imecauthor | Sahli, Hichem | |
| dc.contributor.imecauthor | Deligiannis, Nikolaos | |
| dc.contributor.orcidext | Chen, Yiming::0009-0004-3705-5678 | |
| dc.contributor.orcidext | Abrahamyan, Lusine::0000-0002-3232-3029 | |
| dc.contributor.orcidext | Deligiannis, Nikos::0000-0001-9300-5860 | |
| dc.contributor.orcidimec | Chen, Yiming::0000-0002-0845-6155 | |
| dc.contributor.orcidimec | Abrahamyan, Lusine::0000-0002-3232-3029 | |
| dc.contributor.orcidimec | Sahli, Hichem::0000-0002-1774-2970 | |
| dc.contributor.orcidimec | Deligiannis, Nikolaos::0000-0001-9300-5860 | |
| dc.date.accessioned | 2025-04-14T12:38:09Z | |
| dc.date.available | 2025-04-14T12:38:09Z | |
| dc.date.embargo | 2024-06-03 | |
| dc.date.issued | 2024 | |
| dc.description.wosFundingText | This work was supported in part by the Research Foundation - Flanders (FWO) through the Project under Grant G014718N; in part by the imec.icon Surv-AI-llance Project; and in part by the Flemish Government, under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" Programme. | |
| dc.identifier.doi | 10.1109/OJCOMS.2024.3409191 | |
| dc.identifier.issn | 2644-125X | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/45531 | |
| dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | |
| dc.source.beginpage | 3503 | |
| dc.source.endpage | 3516 | |
| dc.source.issue | N/A | |
| dc.source.journal | IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | |
| dc.source.numberofpages | 14 | |
| dc.source.volume | 5 | |
| dc.title | Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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