FedSQ: A Secure System for Federated Vector Similarity Queries
Summary: FedSQ performs privacy-preserving federated vector similarity queries across multiple data owners via secure multi-party computation. Uniquely combines MPC with indexing and sampling optimizations to trade off efficiency and accuracy for high-dimensional embeddings. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zeqi Zhu
- 2. Zeheng Fan
- 3. Yuxiang Zeng
- 4. Yexuan Shi
- 5. Yi Xu
- 6. Mengmeng Zhou
- 7. Jin Dong
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,680 | Sectric: Towards Accurate, Privacy-preserving and Efficient Triangle Counting | 2025 | VLDB | 4.1905499e-05 |
| 10,723 | Federated and Balanced Clustering for High-dimensional Data | 2025 | VLDB | 4.1905499e-05 |
| 10,824 | FedVSE: A Privacy-Preserving and Efficient Vector Search Engine for Federated Databases | 2025 | VLDB | 4.1905499e-05 |
| 10,845 | Filtered Vector Search: State-of-the-art and Research Opportunities | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 494 | Milvus: A Purpose-Built Vector Data Management System | 2021 | SIGMOD | 0.00021769407 |
| 2,997 | FedKNN: Secure Federated k-Nearest Neighbor Search | 2024 | SIGMOD | 7.7569625e-05 |
| 5,759 | Hu-Fu: Efficient and Secure Spatial Queries over Data Federation | 2022 | VLDB | 5.3372523e-05 |
| 9,050 | Hu-Fu: A Data Federation System for Secure Spatial Queries | 2022 | VLDB | 4.3997447e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,321 | High-Throughput Vector Similarity Search in Knowledge Graphs | 2023 | SIGMOD | 9.0359336e-05 |
| 6,077 | Query-Sensitive Embeddings | 2005 | SIGMOD | 5.2203422e-05 |
| 2,651 | Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations | 2019 | VLDB | 8.3680222e-05 |
| 4,193 | New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed | 2021 | VLDB | 6.3657766e-05 |
| 10,090 | Integrating Vector Databases across Embedding Models | 2026 | SIGMOD | 4.1905499e-05 |
| 8,899 | Fast Approximate Similarity Join in Vector Databases | 2025 | SIGMOD | 4.4229886e-05 |
| 5,227 | Enabling SQL-based Training Data Debugging for Federated Learning | 2022 | VLDB | 5.6156523e-05 |
| 1,291 | SMCQL: Secure Querying for Federated Databases | 2017 | VLDB | 0.00012771034 |
| 2,997 | FedKNN: Secure Federated k-Nearest Neighbor Search | 2024 | SIGMOD | 7.7569625e-05 |
| 10,824 | FedVSE: A Privacy-Preserving and Efficient Vector Search Engine for Federated Databases | 2025 | VLDB | 4.1905499e-05 |