Cache-Aided Matrix Multiplication Retrieval-Reference-Cited by-同舟云学术

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Cache-Aided Matrix Multiplication Retrieval

Published:2022-07 Issue:7 Volume:68 Page:4301-4319
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Wan Kai¹^ORCID,Sun Hua²^ORCID,Ji Mingyue³^ORCID,Tuninetti Daniela⁴^ORCID,Caire Giuseppe¹^ORCID

Affiliation:

1. Electrical Engineering and Computer Science Department, Technische Universität Berlin, Berlin, Germany

2. Department of Electrical Engineering, University of North Texas, Denton, TX, USA

3. Electrical and Computer Engineering Department, The University of Utah, Salt Lake City, UT, USA

4. Electrical and Computer Engineering Department, University of Illinois at Chicago, Chicago, IL, USA

Funder

European Research Council under the ERC Advanced

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/18/9798707/9730908-aam.pdf

Reference32 articles.

1. Finite-Length Analysis of Caching-Aided Coded Multicasting

2. An Index Coding Approach to Caching With Uncoded Cache Placement

3. On the Fundamental Limits of Fog-RAN Cache-Aided Networks With Downlink and Sidelink Communications

4. On the Fundamental Limits of Coded Data Shuffling for Distributed Machine Learning

5. Fundamental Limits of Decentralized Data Shuffling

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1. Multi-Server Multi-Function Distributed Computation;Entropy;2024-05-26

2. On the Fundamental Limits of Coded Caching With Correlated Files of Combinatorial Overlaps;IEEE Transactions on Information Theory;2023-10

3. Multi-User Linearly-Separable Distributed Computing;IEEE Transactions on Information Theory;2023-10

4. Weighted Graph Coloring for Quantized Computing;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

5. Multi-User Linearly Separable Computation: A Coding Theoretic Approach;2022 IEEE Information Theory Workshop (ITW);2022-11-01

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