【青年教师学术沙龙】第一期:中国经济增长动力结构变迁:2000—2019

发布者:澳门8858cc永利发布时间:2024-02-27浏览次数:200

【报告人】:侯园园

摘要】:Distributed learning has been extensively studied and applied in various machine-learning scenarios. This talk initiates by revisiting several classical optimization algorithms, namely gradient descent, stochastic gradient descent (SGD), proximal gradient descent, and ADMM. Following this, we broaden the application of these algorithms to centralized and decentralized distributed frameworks. In particular, we introduce distributed learning algorithms including Communication-efficient Surrogate Likelihood (CSL) and some basic decentralized consensus algorithms.

【时间地点】:202436  14:00   位育楼417