Local Differential Privacy for Decentralized Online Stochastic Optimization With Guaranteed Optimality and Convergence Speed
Year: 2024
Type: article
Authors: Ziqin Chen, Yongqiang Wang
Institution: Clemson University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
Awards: CIF: Small: Ensuring Accuracy in Differentially Private Decentralized Optimization, Encrypted control for privacy-preserving and secure cyber-physical systems, Collaborative Research: CPS: Medium: Ensure Privacy and Truthfulness in Self-interested Multi-agent Cyber-physical Systems, FRR: Collaborative Research: Collaborative Learning for Multi-robot Systems with Model-enabled Privacy Protection and Safety Supervision, CIF: Small: Deep Stochasticity for Private Collaborative Deep Learning, Collaborative Research: CIF: Medium: Harnessing Intrinsic Dynamics for Inherently Privacy-preserving Decentralized Optimization
OpenAlex ID: W4405518168