Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling

DOI10.1109/TCNS.2020.2976273OpenAlexW3007369111MaRDI QIDQ4969490

Jin-Ming Xu, Keyou You, Jianxing Liu, Yongyang Xiong, Li-Gang Wu

Publication date: 5 October 2020

Published in: IEEE Transactions on Control of Network Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tcns.2020.2976273

Mathematics Subject Classification ID

Systems theory; control (93-XX) Operations research, mathematical programming (90-XX)

Related Items (7)

Differentially private distributed online learning over time‐varying digraphs via dual averaging ⋮ A differentially private distributed optimization method for constrained optimization ⋮ Gradient-tracking based differentially private distributed optimization with enhanced optimization accuracy ⋮ Privacy preserving distributed online projected residual feedback optimization over unbalanced directed graphs ⋮ Distributed dynamic online learning with differential privacy via path-length measurement ⋮ A privacy-masking learning algorithm for online distributed optimization over time-varying unbalanced digraphs ⋮ Enhancement of opacity for distributed state estimation in cyber-physical systems

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