专利名称：Federated Learning with Only Positive
Labels
发明人：Ankit Singh Rawat,Xinnan Yu,Aditya Krishna
Menon,Sanjiv Kumar
申请号：US17227851
申请日：20210412
公开号：US20210326757A1
公开日：
20211021
专利内容由知识产权出版社提供
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约翰列侬经典歌曲摘要：Generally, the prent disclosure is directed to systems and methods that
perform spreadout regularization to enable learning of a multi-class classification model
in the federated tting, where each ur has access to the positive data associated with only a limited number of class (e.g., a single class). Examples of such ttings include decentralized training of face recognition models or speaker identification models, where in addition to the ur specific facial images and voice samples, the class embeddings for the urs also constitute nsitive information that cannot be shared with other urs.
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申请人：Google LLC重庆舞蹈培训班价格
aah怎么读地址：Mountain View CA US
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国籍：USattention plea
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