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分布式kWTA的分析和设计,用于封闭竞标拍卖,以竞标价格的隐私保护
IEEE transactions on neural networks and learning systems
|April 15, 2025
概括
本研究介绍了一种分布式k-winner-take-all (kWTA) 算法,用于安全的封闭竞标拍卖. 通过确定拍卖中获胜者和价格,KWTA确保了投标价格的隐私,而不会透露单个投标.
科学领域:
- 分布式系统 分布式系统
- 游戏理论 游戏理论
- 优化优化 优化优化
背景情况:
- 传统的封闭招标拍卖通常缺乏对投标人信息的强有力的隐私机制.
- 现有的分布式算法可能无法完全解决保护隐私的拍卖的复杂性.
- 在拍卖中选择最高出价者时,k-winner-take-all (kWTA) 问题至关重要.
研究的目的:
- 提出一种新的分布式k-winner-take-all (kWTA) 算法. 提出一个新的分布式k-winner-take-all (kWTA) 算法.
- 在封闭招标拍卖中应用KWTA以保护隐私.
- 展示算法在确定赢家和清算价格方面的能力.
主要方法:
- 开发了一个具有定义动态的n个代理的分布式kWTA网络.
- 利用不连续的动态系统理论来制定状态方程作为梯度微分纳入.
- 分析了代表系统目标的非平滑凸函数的最小化.
主要成果:
- 导出了一个足够的条件,使得参数β可以确保正确的kWTA输出.
- 证明了系统的状态和输出变量 (z(t) 和x(t)) 的有限时间收.
- 证明KWTA可以在第一和第二价拍卖中确定获胜者和清算价格,保护投标人的隐私.
结论:
- 拟议的分布式kWTA有效地解决了k-winner-take-all问题,以保护隐私的方式.
- 这代表了kWTA的新应用,超出了简单的获胜者确定范围,扩展到价格计算.
- 该算法为封闭招标拍卖提供了一个安全的解决方案,保护了投标者价格的保密性.
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