Protecting Confidentiality, Privacy and Integrity in Collaborative
Learning
Protecting Confidentiality, Privacy and Integrity in Collaborative
Learning
A collaboration between dataset owners and model owners is needed to facilitate effective machine learning (ML) training. During this collaboration, however, dataset owners and model owners want to protect the confidentiality of their respective assets (i.e., datasets, models and training code), with the dataset owners also caring about the privacy …