首页|Reports from University of Science and Technology China Advance Knowledge in Mac hine Learning (Semi-supervised Decentralized Machine Learning With Device-to-dev ice Cooperation)
Reports from University of Science and Technology China Advance Knowledge in Mac hine Learning (Semi-supervised Decentralized Machine Learning With Device-to-dev ice Cooperation)
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Investigators publish new report on Ma chine Learning. According to news reporting originating in Hefei, People's Repub lic of China, by NewsRx journalists, research stated, "The massive data from mob ile and embedded devices have huge potential for training machine learning model s. Decentralized machine learning (DML) can avoid the inherent bottleneck of the parameter server (PS) by collaboratively training models in a device-to-device (D2D) fashion." Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ), Jiangsu Province Science Foundation for Youths.
HefeiPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSupervised LearningUniversi ty of Science and Technology China
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