What about MPC + DP? Are you planning to integrate any SMPC algorithms on flower or do you find any limitations for not doing so.
I'm trying to apply federated learning to the medical domain too and I'm trying to define the best "stack" that guarantees privacy and compliance with regulations like the GDPR
I can’t speak for Flower’s core dev roadmap, but PySyft is in the process of integrating Flower and some Secure Enclave options which would let you do this.
Agreed that this is an interesting direction. The core Flower abstractions are "federated learning agnostic", which means that they can be used for different kinds of distributed/federated workloads, not just federated learning. We'll add examples for more approaches (like SMPC) in the future, we just don't have the bandwidth to do it immediately.
