Privacy preserving distributed event-triggered optimisation for multi-agent systems
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Publication:6644423
DOI10.1080/00207721.2024.2366415MaRDI QIDQ6644423
Zhongyuan Zhao, Zhiqiang Yang, Qiutong Ji
Publication date: 27 November 2024
Published in: International Journal of Systems Science. Principles and Applications of Systems and Integration (Search for Journal in Brave)
Cites Work
- Event-triggered privacy-preserving average consensus for continuous-time multi-agent network systems
- A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics
- Event based agreement protocols for multi-agent networks
- Distributed convex optimisation with event-triggered communication in networked systems
- Distributed Continuous-Time Convex Optimization on Weight-Balanced Digraphs
- CEASE: A Collaborative Event-Triggered Average-Consensus Sampled-Data Framework With Performance Guarantees for Multi-Agent Systems
- Privacy-Preserving Distributed Online Optimization Over Unbalanced Digraphs via Subgradient Rescaling
- Distributed Subgradient Methods for Multi-Agent Optimization
- Event-triggered scheme for zero-gradient-sum optimisation under directed networks with time delay
- Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
- Distributed Continuous-Time Optimization: Nonuniform Gradient Gains, Finite-Time Convergence, and Convex Constraint Set
- Distributed Event-Triggered Control for Multi-Agent Systems
- Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case
- Distributed Kalman filtering for sensor networks with random sensor activation, delays, and packet dropouts
- Differential Privacy
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