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Function-correcting codes are an innovative class of codes that are designed to protect a function evaluation of the data against errors or corruptions. Due to its usefulness in machine learning applications and archival data storage, where…

Information Theory · Computer Science 2025-03-18 Anamika Singh , Abhay Kumar Singh , Eitan Yaakobi

Function-Correcting Codes (FCCs) are a novel class of codes designed to protect function evaluations of messages against errors while minimizing redundancy. A theoretical framework for systematic FCCs to channels matched to the Lee metric…

Information Theory · Computer Science 2026-04-29 Hareesh K. , Rashid Ummer N. T. , B. Sundar Rajan

Function-correcting codes were introduced in the work "Function-Correcting Codes" (FCC) by Lenz et al. 2023, which provides a graphical representation for the problem of constructing function-correcting codes. We use this function dependent…

Information Theory · Computer Science 2025-05-29 Rohit Premlal , B. Sundar Rajan

Function-correcting codes (FCCs) protect specific function evaluations of a message against errors. This condition imposes a less stringent distance requirement than classical error-correcting codes (ECCs), allowing for reduced redundancy.…

Information Theory · Computer Science 2025-07-15 Hoang Ly , Emina Soljanin

In this paper we study function-correcting codes, a new class of codes designed to protect the function evaluation of a message against errors. We show that FCCs are equivalent to irregular-distance codes, i.e., codes that obey some given…

Information Theory · Computer Science 2023-05-24 Andreas Lenz , Rawad Bitar , Antonia Wachter-Zeh , Eitan Yaakobi

Function-correcting codes are a class of codes designed to protect the function evaluation of a message against errors whose key advantage is the reduced redundancy. In this paper, we extend function-correcting codes from binary symmetric…

Information Theory · Computer Science 2023-12-29 Qingfeng Xia , Hongwei Liu , Bocong Chen

Function-correcting codes (FCCs) are designed to provide error protection for the value of a function computed on the data. Existing work typically focuses solely on protecting the function value and not the underlying data. In this work,…

Information Theory · Computer Science 2026-05-20 Charul Rajput , B. Sundar Rajan , Ragnar Freij-Hollanti , Camilla Hollanti

We introduce function-correcting partition codes (FCPCs), which are a natural generalization of function-correcting codes (FCCs). An FCPC is defined directly on a partition of the message space, rather than on a specific target function. We…

Information Theory · Computer Science 2026-03-03 Charul Rajput , B. Sundar Rajan , Ragnar Freij-Hollanti , Camilla Hollanti

Function-Correcting Codes (FCCs) enable reliable computation of a function of a $k$-bit message over noisy channels without requiring full message recovery. In this work, we study optimal single-error correcting FCCs (SEFCCs) for…

Information Theory · Computer Science 2026-01-16 Rajlaxmi Pandey , Shiven Bajpai , Anjana A Mahesh , B. Sundar Rajan

The family of functions plays a central role in the design and effectiveness of function-correcting codes. By focusing on a well-defined family of functions, function-correcting codes can be constructed with minimal length while still…

Information Theory · Computer Science 2025-09-30 Gyanendra K. Verma , Anamika Singh , Abhay Kumar Singh

Function-correcting codes are a coding framework designed to minimize redundancy while ensuring that specific functions or computations of encoded data can be reliably recovered, even in the presence of errors. The choice of metric is…

Information Theory · Computer Science 2026-02-18 Gyanendra K. Verma , Abhay Kumar Singh

The symbol-pair codes over finite fields have been raised for symbol-pair read channels and motivated by application of high-density data storage technologies [1, 2]. Their generalization is the code for b-symbol read channels (b > 2). Many…

Information Theory · Computer Science 2016-07-12 Minghui Yang , Jin Li , Keqin Feng

In this paper, we consider the recently introduced concept of \emph{function-correcting codes (FCCs) with data protection}, which provide a certain level of error protection for the data and a higher level of protection for a desired…

Information Theory · Computer Science 2026-03-03 Charul Rajput , B. Sundar Rajan , Ragnar Freij-Hollanti , Camilla Hollanti

In this paper, we introduce a class of functions that assume only a limited number $\lambda$ of values within a given Hamming $\rho$-ball and call them locally $(\rho, \lambda)$-bounded functions. We develop function-correcting codes (FCCs)…

Information Theory · Computer Science 2025-11-14 Charul Rajput , B. Sundar Rajan , Ragnar Freij-Hollanti , Camilla Hollanti

In classical coding theory, error-correcting codes are designed to protect against errors occurring at individual symbol positions in a codeword. However, in practical storage and communication systems, errors often affect multiple adjacent…

Information Theory · Computer Science 2025-04-23 Gyanendra K. Verma , Nupur Patanker , Abhay Kumar Singh

We introduce generalized function-correcting partition codes (GFCPCs) that simultaneously protect multiple partitions of the message space against different numbers of errors. Given partitions with respective distance requirements, a GFCPC…

Information Theory · Computer Science 2026-05-06 Charul Rajput , Mahak , V. Lalitha

Function-correcting codes are designed to reduce redundancy of codes when protecting function values of information against errors. As generalizations of Hamming weights and Lee weights over $ \mathbb{Z}_{4} $, homogeneous weights are used…

Information Theory · Computer Science 2025-07-08 Huiying Liu , Hongwei Liu

In this paper, we further extend the study of function-correcting codes in the homogeneous metric over a chain ring $\mathbb{Z}_{2^s}$ for broader classes of functions, namely, locally bounded functions and linear functions, and for weight…

Information Theory · Computer Science 2026-03-17 Gyanendra K. Verma , Abhay Kumar Singh

When neural networks (NeuralNets) are implemented in hardware, their weights need to be stored in memory devices. As noise accumulates in the stored weights, the NeuralNet's performance will degrade. This paper studies how to use error…

Information Theory · Computer Science 2020-01-14 Kunping Huang , Paul Siegel , Anxiao , Jiang

In coding theory, handling errors that occur when symbols are inserted or deleted from a transmitted message is a long-standing challenge. Optimising redundancy for insertion and deletion channels remains a key open problem with significant…

Information Theory · Computer Science 2026-02-02 Anamika Singh , Abhay Kumar Singh
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