Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/41971
Title: Using Federated Machine Learning to Overcome the AI Scale Disadvantage
Authors: BAMMENS, Yannick 
Hunermund, Paul
Issue Date: 2023
Publisher: SLOAN MANAGEMENT REVIEW ASSOC, MIT SLOAN SCHOOL MANAGEMENT
Source: MIT SLOAN MANAGEMENT REVIEW, 65 (1) , p. 54 -57
Abstract: A promising new approach to training AI models lets companies with small data sets collaborate while safeguarding proprietary information.
Notes: Bammens, Y (corresponding author), Hasselt Univ Belgium, Strategy & innovat, Hasselt, Belgium.
Document URI: http://hdl.handle.net/1942/41971
ISSN: 1532-9194
e-ISSN: 1532-8937
ISI #: 001105057400006
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
Bammens & Hünermund 2023 MIT SMR_Fall issue.pdf
  Restricted Access		Published version2.23 MBAdobe PDFView/Open    Request a copy
Bammens & Hünermund 2023 MITSMR_author version.pdf
  Until 2024-08-22		Peer-reviewed author version267.65 kBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.