Dperp
Dperp is a fictional decentralized data exchange protocol intended as a case study for privacy-preserving analytics in distributed systems. It is described as a framework in which data custodians control access to datasets while researchers or applications request computed results without obtaining raw data. The goal of Dperp is to enable collaborative analytics while limiting data exposure and preserving individual privacy.
Dperp emphasizes privacy, security, auditability, and interoperability. It envisions a modular stack that supports data ownership,
In the Dperp model, a network of nodes hosts encrypted data shards and metadata. A privacy layer
Typical workflows include data ingestion with consent metadata, permissioned data sharing, distributed computation, delivery of aggregated
Limitations and considerations
As a conceptual framework, Dperp highlights trade-offs between privacy guarantees and data utility, as well as
Differential privacy, secure multi-party computation, decentralized data exchange.