Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference

Fabing Li, Yuanhao Zhai, Shuangyu Cai, Mingyu Gao
2/12/2026

No official code found. Best implementation: tsinghua-ideal/Seesaw (6 stars, last commit 2024-07-09).

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tsinghua-ideal/SeesawCommunity59%

Code of "Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference" in ICML'24

60Shell, PythonMay 21, 20242 years ago

Cite this paper

@article{li2026seesaw,
  title  = {Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference},
  author = {Fabing Li and Yuanhao Zhai and Shuangyu Cai and Mingyu Gao},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:f54e2f687a57ca6df026347e53cb334f97f41c64},
  journal = {ICML 2024 2024}
}

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