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Cascading Failures in Smart Grids under Random, Targeted and Adaptive Attacks
In this case, the degree, betweenness, or clustering coefficient is calculated before the start of each round, instead of at the beginning.
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT
Hence, we propose a Scalable, Privacy-preserving and veRIfiable collaboraTive lEarning (SPRITE) algorithm to train linear and logistic regression models for IIoT.
Verifiable and Auditable Digital Interchange Framework
We address the problem of fairness and transparency in online marketplaces selling digital content, where all parties are not actively participating in the trade.
Distributed, Parallel, and Cluster Computing
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