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pro vyhledávání: '"Hua, Lifeng"'
Autor:
Lv, Hongtao, Zheng, Zhenzhe, Luo, Tie, Wu, Fan, Tang, Shaojie, Hua, Lifeng, Jia, Rongfei, Lv, Chengfei
Federated learning (FL) trains a machine learning model on mobile devices in a distributed manner using each device's private data and computing resources. A critical issues is to evaluate individual users' contributions so that (1) users' effort in
Externí odkaz:
http://arxiv.org/abs/2108.10623
Automatic identification of mentioned entities in social media posts facilitates quick digestion of trending topics and popular opinions. Nonetheless, this remains a challenging task due to limited context and diverse name variations. In this paper,
Externí odkaz:
http://arxiv.org/abs/2006.14017
Autor:
Niu, Chaoyue, Wu, Fan, Tang, Shaojie, Hua, Lifeng, Jia, Rongfei, Lv, Chengfei, Wu, Zhihua, Chen, Guihai
Federated learning was proposed with an intriguing vision of achieving collaborative machine learning among numerous clients without uploading their private data to a cloud server. However, the conventional framework requires each client to leverage
Externí odkaz:
http://arxiv.org/abs/1911.02254
This paper presents a Semantic Attribute Modulation (SAM) for language modeling and style variation. The semantic attribute modulation includes various document attributes, such as titles, authors, and document categories. We consider two types of at
Externí odkaz:
http://arxiv.org/abs/1707.00117
Akademický článek
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