Paper 2026/1612
DYNAFIX: Dynamic Fixed‑Point Encoding for Arbitrary‑Range MPC
Abstract
Privacy-preserving computation over real numbers typically employs either floating-point or fixed-point arithmetic. While fixed-point methods are highly efficient, they struggle to handle wide dynamic ranges. Conversely, floating-point methods support a much larger numerical scope but incur overheads more than a hundred times higher than their fixed-point counterparts. In this paper, we propose DYNAFIX, a dynamic fixed-point computation scheme that strikes a balance between floating-point and fixed-point arithmetic. Compared to traditional fixed-point approaches, our scheme supports an arbitrary numerical range; compared to floating-point computation, it maintains performance comparable to fixed-point execution. Experimental results demonstrate that our method achieves a $24.1\times$ speedup over the state-of-the-art when evaluating high-precision functions, such as the exponential function.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Preprint.
- Contact author(s)
-
chenyt_x @ 163 com
lutianpei @ zju edu cn
zytang @ nwu edu cn
bingsheng @ zju edu cn
yangwenjing @ nwu edu cn
zzwang @ nwu edu cn
kuiren @ zju edu cn - History
- 2026-08-06: approved
- 2026-08-05: received
- See all versions
- Short URL
- https://ia.cr/2026/1612
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2026/1612,
author = {Yuntian Chen and Tianpei Lu and Zhanyong Tang and Bingsheng Zhang and Wenjing Yang and Zhuzhu Wang and Kui Ren},
title = {{DYNAFIX}: Dynamic Fixed‑Point Encoding for Arbitrary‑Range {MPC}},
howpublished = {Cryptology {ePrint} Archive, Paper 2026/1612},
year = {2026},
url = {https://eprint.iacr.org/2026/1612}
}
