Batch Codes
Batch Codes is a coding-theoretic framework that belongs to the class of erasure codes and is distinguished by its ability to efficiently retrieve multiple codeword symbols in parallel by reading a small number of encoded symbols from disjoint subsets, thereby enabling simultaneous recovery of requested data items with reduced access overhead.
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1.4K
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72
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46
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2017–2026
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PIR with Compressed Queries and Amortized Query Processing
Sebastian Angel, Hao Chen, Kim Laine et al. · 2018 · 233 citations · Full text
Batch codes and their applications
Yuval Ishai, Eyal Kushilevitz, Rafail Ostrovsky et al. · 2004 · 225 citations
IEEE Transactions on Information Theory · 2014 · 141 citations · Full text
Shenghao Yang, Raymond W. Yeung · 2016 · 100 citations
Phillipp Schoppmann, Adrià Gascón, Leonie Reichert et al. · 2019 · 83 citations
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Technion – Israel Institute of Technology
Haifa, Israel
5 h-index
8 publications
556 citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
4 h-index
5 publications
211 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
5 publications
95 citations
University of Pannonia
Veszprém, Hungary
3 h-index
4 publications
63 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
4 publications
209 citations

Hungarian Academy of Sciences
Budapest, Hungary
3 h-index
3 publications
50 citations
Lanzhou University
Lanzhou, China
2 h-index
2 publications
39 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
39 citations
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4 publications · 92 citations
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3 publications · 149 citations
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2 publications · 48 citations
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2 publications · 35 citations
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1 publications · 21 citations
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