Hi Zama team,
I’m a student interested in data privacy and I’m running a thought-experiment around a decentralized identity system with data pods (inspired by Solid Project). The real-world constraint I’m hitting is that it requires good faith from the receiver. Once data-pod access is given, nothing prevents the data from being copied and stored.
I would love to ask a Zama engineer a few quick questions:
- Realistic compute and latency issues with NLP vector embedding through Concrete ML.
- How Zama looks at hybrid architecture between local device decryption and cloud FHE processing.
I know you’re very busy, but any guidance, links, or feedback will be incredibly valuable for my studies! Thank you!
Kind regards,
Kindon Smith
Georgia Tech, OMSCS