Polar Coded Computing: The Role of the Scaling Exponent
Author:
Affiliation:
1. Stanford University,Stanford,CA,USA,94305
2. Institute of Science and Technology (IST) Austria,Klosterneuburg,Austria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834712.pdf?arnumber=9834712
Reference26 articles.
1. How to construct polar codes;tal;IEEE Transactions on Information Theory,2013
2. On the construction of polar codes
3. Construction of Polar Codes With Sublinear Complexity
4. On the rate of channel polarization;ar?kan;IEEE International Symposium on Information Theory (ISIT),2009
5. Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors
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1. Sub-4.7 Scaling Exponent of Polar Codes;IEEE Transactions on Information Theory;2023-07
2. Differentially Private Coded Computing;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
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