Federated Retrieval-Augmented Generation: A Systematic Mapping Study
Abhijit Chakraborty, et al.
Surveying architectures, privacy constraints, and deployment practices for federated retrieval-augmented generation. The work catalogs design patterns that allow regulated enterprises to build collaborative copilots while protecting data sovereignty.
Abstract
We map the emerging landscape of federated RAG systems, with attention to data governance, communication protocols, and evaluation. The study enumerates approaches for hybrid retrieval, cross-tenant policy enforcement, and metric design for federated LLM deployments.
Highlights
- Taxonomy of topology choices (hub-and-spoke, peer-to-peer, hierarchical) for federated retrieval systems.
- Framework for auditing data residency, consent, and provenance in cross-organization knowledge exchange.
- Benchmark agenda outlining open research problems in latency, personalization, and privacy-preserving analytics for federated copilots.