Novel Constructions for Computation and Communication Trade-offs in Private Coded Distributed Computing

Distributed computing enables scalable machine learning by distributing tasks across multiple nodes, but ensuring privacy in such systems remains a challenge. This paper introduces a novel private coded distributed computing model that integrates privacy constraints to keep task assignments hidden....

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Veröffentlicht in:	IEEE transactions on communications S. 1
Hauptverfasser:	Sasi, Shanuja, Gunlu, Onur
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Coded distributed computing Computational modeling Distributed computing Electronic mail Encoding Feature extraction Indexes Load modeling Machine learning algorithms MapReduce framework placement delivery arrays Privacy private computing Servers
ISSN:	0090-6778, 1558-0857
Online-Zugang:	Volltext
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