Smart meter aggregation via secret-sharing

102 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Honeycrisp: large-scale differentially private aggregation without a trusted core (2019, background): “For instance, PDDP [20] and PROCHLO [13] both make use of a proxy to send information from a client to an analyst, [24] uses a trusted third party, and [52] relies on a trusted dealer to set up keys.”
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics (2017, background): “Private data-collection systems [30, 48, 53, 56, 79, 86, 92] that use secret-sharing based methods to compute sums over private user data typically (a) provide no robustness guarantees in the face of malicious clients, (b) use expensive NIZKs to prevent client misbehavior, or (c) fail to defend priv”