A Flexible and Powerful Parameter Server for large-scale machine learning
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Updated
Oct 13, 2025 - Java
A Flexible and Powerful Parameter Server for large-scale machine learning
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
extremely distributed machine learning
Zi Ji Shi Xian De Shen Du Xue Xi Xun Lian Kuang Jia ,Chun javaShi Xian ,Mei You Guo Duo De Di San Fang Yi Lai ,Ke Fen Bu Shi Xun Lian
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Fen Bu Shi Liu Shu Ju Da Gui Mo Zhu Ti Mo Xing De Shi Xian
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ROS utility package for build-time configuration file generation and dumping/restoring contents of ROS parameter server to/from ROS bags.
a simple machine learning library
A lightweight community-aware heterogeneous parameter server paradigm.
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