Differentially Private and Communication-Efficient Distributed Nonconvex Optimization Algorithms
This paper studies the privacy-preserving distributed optimization problem under limited
communication, where each agent aims to keep its cost function private while minimizing the …
communication, where each agent aims to keep its cost function private while minimizing the …
Differentially Private Distributed Nonconvex Stochastic Optimization with Quantized Communications
J Chen, J Wang, JF Zhang - arXiv preprint arXiv:2403.18254, 2024 - arxiv.org
This paper proposes a new distributed nonconvex stochastic optimization algorithm that can
achieve privacy protection, communication efficiency and convergence simultaneously …
achieve privacy protection, communication efficiency and convergence simultaneously …
Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence
The distributed computation of a Nash equilibrium (NE) for non-cooperative games is
gaining increased attention recently. Due to the nature of distributed systems, privacy and …
gaining increased attention recently. Due to the nature of distributed systems, privacy and …
Compression-based privacy preservation for distributed Nash equilibrium seeking in aggregative games
This letter explores distributed aggregative games in multi-agent systems. Current methods
for finding distributed Nash equilibrium require players to send original messages to their …
for finding distributed Nash equilibrium require players to send original messages to their …