Publication:

LOCALLY ACCUMULATED ADAM FOR DISTRIBUTED TRAINING WITH SPARSE UPDATES

 
dc.contributor.authorChen, Yiming
dc.contributor.authorDeligiannis, Nikolaos
dc.contributor.imecauthorChen, Yiming
dc.contributor.imecauthorDeligiannis, Nikolaos
dc.contributor.orcidimecChen, Yiming::0000-0002-0845-6155
dc.contributor.orcidimecDeligiannis, Nikolaos::0000-0001-9300-5860
dc.date.accessioned2024-06-06T12:29:47Z
dc.date.available2024-03-04T17:58:00Z
dc.date.available2024-06-06T12:29:47Z
dc.date.issued2023
dc.description.wosFundingTextThis research was supported by FWO (Grants G0A2617N and G014718N) and the imec.icon Surv-AI-llance project.
dc.identifier.doi10.1109/ICIP49359.2023.10222032
dc.identifier.eisbn978-1-7281-9835-4
dc.identifier.issnN/A
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43622
dc.publisherIEEE
dc.source.beginpage2395
dc.source.conference30th IEEE International Conference on Image Processing (ICIP)
dc.source.conferencedateOCT 08-11, 2023
dc.source.conferencelocationKuala Lumpur
dc.source.endpage2399
dc.source.journalN/A
dc.source.numberofpages5
dc.title

LOCALLY ACCUMULATED ADAM FOR DISTRIBUTED TRAINING WITH SPARSE UPDATES

dc.typeProceedings paper
dspace.entity.typePublication
Files
Publication available in collections: