Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/41971
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | BAMMENS, Yannick | - |
dc.contributor.author | Hunermund, Paul | - |
dc.date.accessioned | 2023-12-18T14:51:04Z | - |
dc.date.available | 2023-12-18T14:51:04Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-12-18T13:05:53Z | - |
dc.identifier.citation | MIT SLOAN MANAGEMENT REVIEW, 65 (1) , p. 54 -57 | - |
dc.identifier.uri | http://hdl.handle.net/1942/41971 | - |
dc.description.abstract | A promising new approach to training AI models lets companies with small data sets collaborate while safeguarding proprietary information. | - |
dc.language.iso | en | - |
dc.publisher | SLOAN MANAGEMENT REVIEW ASSOC, MIT SLOAN SCHOOL MANAGEMENT | - |
dc.title | Using Federated Machine Learning to Overcome the AI Scale Disadvantage | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 57 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 54 | - |
dc.identifier.volume | 65 | - |
local.format.pages | 4 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Bammens, Y (corresponding author), Hasselt Univ Belgium, Strategy & innovat, Hasselt, Belgium. | - |
local.publisher.place | 77 MASSACHUSETTS AVE, E60-100, CAMBRIDGE, MA 02139-4307 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.isi | 001105057400006 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Bammens, Yannick] Hasselt Univ Belgium, Strategy & innovat, Hasselt, Belgium. | - |
local.description.affiliation | [Hunermund, Paul] Copenhagen Business Sch Denmark, Strategy & Innovat, Copenhagen, Denmark. | - |
local.uhasselt.international | yes | - |
item.fullcitation | BAMMENS, Yannick & Hunermund, Paul (2023) Using Federated Machine Learning to Overcome the AI Scale Disadvantage. In: MIT SLOAN MANAGEMENT REVIEW, 65 (1) , p. 54 -57. | - |
item.contributor | BAMMENS, Yannick | - |
item.contributor | Hunermund, Paul | - |
item.fulltext | With Fulltext | - |
item.embargoEndDate | 2024-08-22 | - |
item.accessRights | Embargoed Access | - |
crisitem.journal.issn | 1532-9194 | - |
crisitem.journal.eissn | 1532-8937 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Bammens & Hünermund 2023 MIT SMR_Fall issue.pdf Restricted Access | Published version | 2.23 MB | Adobe PDF | View/Open Request a copy |
Bammens & Hünermund 2023 MITSMR_author version.pdf Until 2024-08-22 | Peer-reviewed author version | 267.65 kB | Adobe PDF | View/Open Request a copy |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.