CrowdFL: a marketplace for crowdsourced federated learning

CrowdFL: a marketplace for crowdsourced federated learning

Amid data privacy concerns, Federated Learning (FL) has emerged as a promising machine learning paradigm that enables privacy-preserving collaborative model training. However, there exists a need for a platform that matches data owners (supply) with model requesters (demand). In this paper, we prese...

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書目詳細資料
Main Authors:	Feng, Daifei, Helena, Cicilia, Lim, Bryan Wei Yang, Ng, Jer Shyuan, Jiang, Hongchao, Xiong, Zehui, Kang, Jiawen, Yu, Han, Niyato, Dusit, Miao, Chunyan
其他作者:	School of Computer Science and Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Federated Learning Crowdsourcing
在線閱讀:	https://hdl.handle.net/10356/156042 https://ojs.aaai.org/index.php/AAAI/article/view/21715
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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