Jodes: Efficient Oblivious Join in the Distributed Setting
Summary: Jodes is an oblivious equi-join algorithm for distributed TEE-based analytics that prevents both enclave side-channel and network-volume leakage, exposing only input sizes and the final output size. It attains asymptotically lower communication and computation costs than prior schemes and yields up to 6× speedup in 16-server experiments. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yilei Wang
- 2. Xiangdong Zeng
- 3. Sheng Wang
- 4. Feifei Li
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,484 | Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store | 2025 | SIGMOD | 4.1945683e-05 |
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