PNNL Publishes Review on Privacy in Smart Grids
The Pacific Northwest National Laboratory has issued a set of recommendations that use homomorphic encryption, zero-knowledge proofs, differential privacy, and federated learning for user data privacy as energy grids become more able to collect data on individuals.