An Introduction to Federated Computation
Summary: Federated computation: privacy-preserving distributed data processing with local data and only shared summaries. Overview of models, algorithms, security guarantees, and practical system issues, highlighting open problems for data management beyond federated learning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,004 | RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing | 2024 | VLDB | 4.8656632e-05 |
| 9,323 | FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data | 2023 | SIGMOD | 4.3556432e-05 |
| 10,612 | Federated Data Distribution Shift Estimation | 2025 | VLDB | 4.1945683e-05 |
| 11,169 | Applications of Sketching and Pathways to Impact | 2023 | PODS | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
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