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Distributed Outlier Detection using Compressive Sensing

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 2015
Computing outliers and related statistical aggregation functions from large-scale big data sources is a critical operation in many cloud computing scenarios, e.g. service quality assurance, fraud detection, or novelty discovery. Such problems commonly have to be solved in a distributed environment where each node only has a local slice of the entirety ...
Ying Yan   +6 more
openaire   +2 more sources

Rate-Distortion Theory of Distributed Compressed Sensing

2015
In this chapter, correlated and distributed sources without cooperation at the encoder are considered. For these sources, the best achievable performance in the rate-distortion sense of any distributed compressed sensing scheme is derived, under the constraint of high-rate quantization.
Giulio Coluccia   +2 more
openaire   +2 more sources

Application of distributed compressed sensing for GMTI purposes

IET International Conference on Radar Systems (Radar 2012), 2012
The first step of ground moving target indication is the differentiation between moving and nonmoving objects. Using sparsity based methods for this purpose is often constrained by the nonsparse characteristic of the nonmoving clutter. In this paper we present a new approach for moving target indication based on distributed compressed sensing, a ...
openaire   +2 more sources

Decentralized SDN Control Plane for a Distributed Cloud-Edge Infrastructure: A Survey

IEEE Communications Surveys and Tutorials, 2021
Adrien Lebre
exaly  

A Survey on Distributed Machine Learning

ACM Computing Surveys, 2021
Tim Verbelen
exaly  

Soft and stretchable liquid metal transmission lines as distributed probes of multimodal deformations

Nature Electronics, 2020
Andreas Leber   +2 more
exaly  

Trade-offs between Distributed Ledger Technology Characteristics

ACM Computing Surveys, 2021
Niclas Kannengießer   +2 more
exaly  

A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks

IEEE Communications Surveys and Tutorials, 2013
Saman Taghavi Zargar
exaly  

Demystifying Parallel and Distributed Deep Learning

ACM Computing Surveys, 2020
Tal Ben-Nun, Torsten Hoefler
exaly  

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