This ZKLP seems interesting. A way to share location in a way that gives user a way to select accuracy/granularity of location data.
The technique, referred to as Zero-Knowledge Location Privacy (ZKLP), aims to provide access to unverified location data in a way that preserves privacy without sacrificing accuracy and utility for applications that might rely on such data. It’s described in a paper presented this week at the 2025 IEEE Symposium on Security and Privacy.
“With ZKLP, users can prove to any third party that they are within a specific geographical region while obfuscating their exact location for utility and privacy,” the authors claim. “To the best of our knowledge, ZKLP provides the first paradigm for non-interactive, publicly verifiable, and privacy-preserving proofs of geolocation.”
ZKLP does not address the issue of an individual misrepresenting location data (spoofing) – it proves only the location data’s value, not its provenance. […]
[…] But ZKLP has been designed to work with the Discrete Global Grid System (DGGS), a geospatial referencing framework that divides the world into hexagonal grids. It allows users to specify the granularity of their location on the hex grid map – they could choose to be in a city or in a more specific location like a park and their claim would be computationally verifiable.
Article: Boffins devise privacy-preserving location sharing scheme • The Register
When location needs to be shared, this seems like a reasonable way it could be done. Will it be implementable - at scale - is another thing.