Cita APA (7a ed.)

Bammens, Y., & Hünermund, P. (2023). Using federated machine learning to overcome the AI scale disadvantage: A promising new approach to training AI models lets companies with small data sets collaborate while safeguarding proprietary information ([First edition].). MIT Sloan Management Review.

Cita Chicago Style (17a ed.)

Bammens, Yannick, y Paul Hünermund. Using Federated Machine Learning to Overcome the AI Scale Disadvantage: A Promising New Approach to Training AI Models Lets Companies with Small Data Sets Collaborate While Safeguarding Proprietary Information. [First edition]. [Cambridge, Massachusetts]: MIT Sloan Management Review, 2023.

Cita MLA (8a ed.)

Bammens, Yannick, y Paul Hünermund. Using Federated Machine Learning to Overcome the AI Scale Disadvantage: A Promising New Approach to Training AI Models Lets Companies with Small Data Sets Collaborate While Safeguarding Proprietary Information. [First edition]. MIT Sloan Management Review, 2023.

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