Suchergebnisse - Distributed computation Linearly separable function Coding theory~

Multi-User Linearly Separable Computation: A Coding Theoretic Approach

Autoren: Khalesi, Ali Elia, Petros Eurecom, Centre De Documentation

Weitere Verfasser: Khalesi, Ali Elia, Petros Eurecom, Centre De Documentation

Quelle: 2022 IEEE Information Theory Workshop (ITW)

Schlagwörter: Distributed computation Linearly separable function Coding theory, Distributed computation, 0202 electrical engineering, electronic engineering, information engineering, Coding theory, [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], 02 engineering and technology, Linearly separable function

Dateibeschreibung: application/pdf

Distributed Linearly Separable Computation

Autoren: Kai Wan Hua Sun Mingyue Ji et al.

Quelle: IEEE Transactions on Information Theory

Schlagwörter: FOS: Computer and information sciences, 0508 media and communications, Computer Science - Information Theory, Information Theory (cs.IT), 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://arxiv.org/pdf/2007.00345
http://arxiv.org/abs/2007.00345
https://dblp.uni-trier.de/db/journals/corr/corr2007.html#abs-2007-00345

On Secure Distributed Linearly Separable Computation

Autoren: Kai Wan Hua Sun Mingyue Ji et al.

Quelle: IEEE Journal on Selected Areas in Communications

Schlagwörter: FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

Zugangs-URL: http://arxiv.org/pdf/2102.00926
http://arxiv.org/abs/2102.00926

Secure Distributed Linearly Separable Computation

Autoren: Wan, Kai Sun, Hua Ji, Mingyue et al.

Quelle: IEEE Int. Symp on Inform. Theory (ISIT)
2021 IEEE International Symposium on Information Theory (ISIT)

Zugangs-URL: http://arxiv.org/pdf/2102.00926
https://dblp.uni-trier.de/db/conf/isit/isit2021.html#Wan0JC21
https://ieeexplore.ieee.org/document/9517896/
https://doi.org/10.1109/ISIT45174.2021.9517896

Multi-user linearly separable computation sparse factorization meets coding theory

Autoren: Khalesi, Ali Elia, Petros

Weitere Verfasser: Khalesi, Ali Elia, Petros

Quelle: Research Report RR-22-348, 19 May 2022

Schlagwörter: Distributed computation, Linearly separable function, Coding theory, Sparse matrix factorization

Relation: https://www.eurecom.fr/publication/6912

Verfügbarkeit: https://www.eurecom.fr/publication/6912

Fundamental Limits of Distributed Linearly Separable Computation under Cyclic Assignment

Autoren: Huang, Wenbo Wan, Kai Sun, Hua et al.

Quelle: 2023 IEEE International Symposium on Information Theory (ISIT)

Schlagwörter: FOS: Computer and information sciences, Information Theory (cs.IT), Information Theory

Zugangs-URL: http://arxiv.org/abs/2305.05143

Multi-User Linearly-Separable Distributed Computing

Autoren: Khalesi, Ali Elia, Petros Eurecom Sophia Antipolis et al.

Weitere Verfasser: Khalesi, Ali Elia, Petros Eurecom Sophia Antipolis et al.

Quelle: ISSN: 0018-9448 ; IEEE Transactions on Information Theory ; https://hal.science/hal-04360278 ; IEEE Transactions on Information Theory, 2023, 69 (10), pp.6314-6339. ⟨10.1109/TIT.2023.3283967⟩.

Schlagwörter: Distributed computing, Linearly separable functions, Coding theory, Sparse matrix factorization, Covering codes, Straggler mitigation, Distributed gradient coding, [INFO]Computer Science [cs]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2206.11119; info:eu-repo/grantAgreement//725929/EU/Theoretical Foundations of Memory Micro-Insertions in Wireless Communications/DUALITY; hal-04360278; https://hal.science/hal-04360278; https://hal.science/hal-04360278/document; https://hal.science/hal-04360278/file/Multi_User_Linearly_Separable_Distributed_Computing_Main_%20%28002%29.pdf; ARXIV: 2206.11119

Verfügbarkeit: https://hal.science/hal-04360278
https://hal.science/hal-04360278/document
https://hal.science/hal-04360278/file/Multi_User_Linearly_Separable_Distributed_Computing_Main_%20%28002%29.pdf
https://doi.org/10.1109/TIT.2023.3283967

Distributed Linearly Separable Computation

Autoren: Wan, Kai Sun, Hua Ji, Mingyue et al.

Index Begriffe: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/2007.00345

Distributed Linearly Separable Computation.

Autoren: Wan, Kai Sun, Hua Ji, Mingyue et al.

Quelle: IEEE Transactions on Information Theory; Feb2022, Vol. 68 Issue 2, p1259-1278, 20p

Schlagwörter: FINITE fields, DISTRIBUTED computing, LINEAR codes, CHANNEL coding, DISTRIBUTED algorithms

On Secure Distributed Linearly Separable Computation

Autoren: Wan, Kai Sun, Hua Ji, Mingyue et al.

Index Begriffe: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/2102.00926

On Decentralized Linearly Separable Computation With the Minimum Computation Cost

Autoren: Chen, Haoning Cheng, Minquan Huang, Zhenhao et al.

Index Begriffe: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/2401.16181

On Secure Distributed Linearly Separable Computation.

Autoren: Wan, Kai Sun, Hua Ji, Mingyue et al.

Quelle: IEEE Journal on Selected Areas in Communications; Mar2022, Vol. 40 Issue 3, p912-926, 15p

Schlagwörter: INDEPENDENT variables, SERVER farms (Computer network management), DISTRIBUTED computing, TASK analysis, BOTTLENECKS (Manufacturing)

Multi-Server Multi-Function Distributed Computation.

Autoren: Malak, Derya Deylam Salehi, Mohammad Reza Serbetci, Berksan et al.

Quelle: Entropy; Jun2024, Vol. 26 Issue 6, p448, 30p

Schlagwörter: NONLINEAR functions

Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing.

Autoren: Ramamoorthy, Aditya Das, Anindya Bijoy Tang, Li

Quelle: IEEE Signal Processing Magazine; May2020, Vol. 37 Issue 3, p136-145, 10p

On the Tradeoff Between Computation and Communication Costs for Distributed Linearly Separable Computation.

Autoren: Wan, Kai Sun, Hua Ji, Mingyue et al.

Quelle: IEEE Transactions on Communications; Nov2021, Vol. 69 Issue 11, p7390-7405, 16p

Schlagwörter: DISTRIBUTED computing, LINEAR codes, GRID computing, SYMMETRIC matrices, COST

Network Coding Approaches for Distributed Computation over Lossy Wireless Networks.

Autoren: Fan, Bin Tang, Bin Qu, Zhihao et al.

Quelle: Entropy; Mar2023, Vol. 25 Issue 3, p428, 16p

Schlagwörter: DISTRIBUTED computing, MATRIX multiplications, COMPUTER systems, MACHINE learning, LINEAR network coding

Privacy in Retrieval, Computing, and Learning.

Autoren: Ulukus, Sennur Avestimehr, Salman Gastpar, Michael et al.

Quelle: IEEE Journal on Selected Areas in Communications; Mar2022, Vol. 40 Issue 3, p725-728, 4p

Schlagwörter: CODING theory, PRIVACY, DATA privacy, DISTRIBUTED computing, INFORMATION theory, GRID computing

Discriminative projective dictionary pair based broad metric learning system: algorithm and its applications in pattern classification.

Autoren: Duan, Junwei Zou, Yutong

Quelle: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-35, 35p

Gradient Coding From Cyclic MDS Codes and Expander Graphs.

Autoren: Raviv, Netanel Tamo, Itzhak Tandon, Rashish et al.

Quelle: IEEE Transactions on Information Theory; Dec2020, Vol. 66 Issue 12, p7475-7489, 15p

Schlagwörter: CYCLIC codes, CODING theory, GRAPH theory, APPROXIMATION algorithms

Fast Erasure Coding for Data Storage: A Comprehensive Study of the Acceleration Techniques.

Autoren: TIANLI ZHOU CHAO TIAN

Quelle: ACM Transactions on Storage; Mar2020, Vol. 16 Issue 1, p1-24, 24p

Schlagwörter: DATA warehousing, COST functions, CODING theory, FINITE fields