Privacy-Preserving Distributed Averaging via Homomorphically Encrypted Ratio Consensus

DOI10.1109/TAC.2020.2968876OpenAlexW3000785930WikidataQ114847053 ScholiaQ114847053MaRDI QIDQ5125813

Alejandro D. Domínguez-García, Christoforos N. Hadjicostis

Publication date: 7 October 2020

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2020.2968876

Mathematics Subject Classification ID

Systems theory; control (93-XX)

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Privacy-preserved average consensus algorithms with edge-based additive perturbations ⋮ Private computation of polynomials over networks ⋮ Designing communication networks for discrete-time consensus for performance and privacy guarantees ⋮ Fake information mechanism based privacy-preserving average consensus ⋮ Dynamics based privacy preservation in decentralized optimization ⋮ Gradient-tracking based differentially private distributed optimization with enhanced optimization accuracy ⋮ Privacy-preserving dynamic average consensus via state decomposition: case study on multi-robot formation control

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