Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework

DOI10.1109/TSP.2020.3029887OpenAlexW3022767088MaRDI QIDQ5103164

Qiongxiu Li, Mads Græsbøll Christensen, Richard Heusdens

Publication date: 23 September 2022

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.13999

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Dynamics based privacy preservation in decentralized optimization ⋮ Consensus-based Dantzig-Wolfe decomposition ⋮ Multi-agent control: a graph-theoretic perspective

This page was built for publication: Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework