Federated Bayesian optimization on random Fourier additive margin features and random kernel mapping

IF 7.2 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Fazhen Jiang , Xiaoyuan Yang
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引用次数: 0

Abstract

Bayesian Optimization (BO) is an advanced technique for hyperparameter tuning in AutoML, particularly for optimizing black-box functions. This study mainly proposes the RAF kernel for Gaussian Processes and introduces two novel algorithms: the Federated Bayesian additive marginal Thompson Sampling algorithm (FAT) and the Federated Bayesian random kernel Thompson Sampling algorithm (FAKT), the latter combining RAF with Random Fourier Features (RFF). To enhance privacy, we further develop DP-FAT and DP-FAKT by integrating Differential Privacy, which can reduce the communication costs while safeguarding client data. Experiments show that FAT and FAKT converge 10 communication rounds faster than existing methods (e.g., FTS), significantly improving efficiency in federated black-box optimization. These advancements demonstrate strong potential for large-scale learning tasks with enhanced privacy and reduced overhead.
随机傅里叶加性边缘特征和随机核映射的联邦贝叶斯优化
贝叶斯优化(BO)是AutoML超参数调优的一种先进技术,尤其适用于优化黑盒函数。本研究主要提出了高斯过程的RAF核,并引入了两种新算法:联邦贝叶斯加性边缘汤普森采样算法(FAT)和联邦贝叶斯随机核汤普森采样算法(FAKT),后者将RAF与随机傅立叶特征(RFF)相结合。为了增强隐私性,我们通过集成差分隐私进一步开发DP-FAT和DP-FAKT,在降低通信成本的同时保护客户端数据。实验表明,FAT和FAKT比现有方法(如FTS)更快地收敛10个通信轮,显著提高了联邦黑盒优化的效率。这些进步展示了具有增强隐私性和减少开销的大规模学习任务的强大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Soft Computing
Applied Soft Computing 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
6.90%
发文量
874
审稿时长
10.9 months
期刊介绍: Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities. Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.
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