Balancing privacy with sharing data with small cell sizes

The EF+Math program strives to create powerful new learning systems to improve math and executive function skills for Black, Latinx, and students living in poverty. We have a strong commitment to equity throughout the planning and conduct of studies. We are collecting data in schools and data privacy is a primary concern. We would like to avoid masking small cell sizes in order to honor all of our participants but this creates the opportunity for participants to be identified. Curious if others have found creative ways to address this conundrum.