Universal codeword sets and representations of the integers
By Peter Elias. 1975
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jakub Konecný
- Felix X. Yu
- Dan Alistarh
- Ananda Theertha Suresh
- Peter Richtárik
- Cong Xie
- Sebastian U. Stich
- Sai Praneeth Karimireddy
Citations in the corpus
- cpSGD: Communication-efficient and differentially-private distributed SGD (2018, background): “, see [21] and in particular [5] showed that stochastic quantization and Elias coding [15] can be used to obtain communication-optimal SGD for convex functions.”
- Distributed Mean Estimation with Limited Communication (2016, background): “. It can also provide lower quantization error in some scenarios due to better constants (see Section 7 for details). Concurrent to this work, [2] showed that stochastic quantization and Elias coding [11] can be used to obtain communication-optimal SGD. Recently, [16] showed that πsb can be improved”
- Fisher information and stochastic complexity (1996, background): “Define the set I? = (2-u, a.), which plays the role of the interior of a compact set in Section 11. We selected these boundaries because they can be encoded with a short code length, in fact with about c + log* fi bits, where c is about 2.87 and log* x = log x + log log x + . . I, the dots indicatin”
- Artemis: tight convergence guarantees for bidirectional compression in Federated Learning (2020, methodology): “To broadcast the quantized value, we use the Elias encoding [10].”
- On the Convergence of Quantized Parallel Restarted SGD for Serverless Learning (2020, methodology): “Compression Schemes For any integer k, we use Elias gamma encoding [6], denoted as Elias(k), to generate its code.”
- Compressed full-text indexes (2007, methodology): “An efficient way to compress the occurrence lists uses differential encoding plus a variable-length coding, such as Elias-δ coding [Elias 1975; Witten et al. 1999].”
- Exploring single-sample SNP and INDEL calling with whole-genome de novo assembly (2012, methodology): “e used the established algorithm to merge BWTs of subsets of reads (Hon et al., 2007; Siren, 2009; Ferragina et al., 2010). The BWT string is run-length encoded with the length in the delta encoding (Elias, 1975). 2.7.2 Error correction Fermi corrects potential sequencing errors using an algorithm s”
- A General SIMD-Based Approach to Accelerating Compression Algorithms (2015, methodology): “…is extended from the traditional Simple algorithms [Anh and Moffat 2005; Anh and Moffat 2006], which can be considered as a word-aligned algorithm; Group-Scheme extends Elias Gamma coding [Elias 1975], which can be considered as a family containing both bit-aligned and byte-aligned variants.”
- Efficient storage of high throughput DNA sequencing data using reference-based compression. (2011, background): “Deletion lengths are currently Gamma encoded (Elias 1975).”
- Decoding billions of integers per second through vectorization (2012, methodology): “An Elias gamma code [29, 30, 33] consists of two parts.”
- SILT: a memory-efficient, high-performance key-value store (2011, methodology): “When | L | is small enough (e.g., ≤ 16), SortedStore uses static, glob-# 2 ) using Elias gamma coding [23] to avoid filling the CPU cache with large Huffman tables.”
- Succinct nearest neighbor search (2011, methodology): “Each difference is encoded using Elias-γ [8] which is a variable-length integer encoding using 2 log x + 1 bits to encode an integer x.”