are you asking about methods to improve privacy of aggregated datasets? They seem to be not super popular with people in the field, I think because they sharply curtail how data can be used compared to having access to datasets with no strong privacy guarantees. I think the maybe more impactful recent shift is toward "trusted research environments" where you get to work with a particular dataset only in a controlled setting with actively monitored egress.
Homomorphic encryption enables standard GWAS workflows (not just summary stats) while “sharing” all genotypes and phenotypes. Richard Mott and colleagues have a paper and colleagues on this method;
