Mechanism Design for Multi-Party Machine Learning

Understand

In a multi-party machine learning system, different parties cooperate on optimizing towards better models by sharing data in a privacy-preserving way.

• A major challenge in learning is the incentive issue.
• For example, if there is competition among the parties, one may strategically hide his data to prevent other parties from getting better models.
• In this paper, we study the problem through the lens of mechanism design and incorporate the features of multi-party learning in our setting.