output
20082024
most citedPrivacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework

61 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CR2023★ 16 cited

Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus

Qiongxiu Li, Jaron Skovsted Gundersen, Milan Lopuhaa-Zwakenberg +1

Privacy-preserving distributed average consensus has received significant attention recently due to its wide applicability. Based on the achieved performances, existing approaches…

cs.CR2014★ 16 cited

Power Grid Defense Against Malicious Cascading Failure

Paulo Shakarian, Hansheng Lei, Roy Lindelauf

An adversary looking to disrupt a power grid may look to target certain substations and sources of power generation to initiate a cascading failure that maximizes the number of cus…