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Found 4 papers, 1 papers with code
Positive and Unlabeled Federated Learning
We study the problem of learning from positive and unlabeled (PU) data in the federated setting, where each client only labels a little part of their dataset due to the limitation of resources and time.
Federated Learning with Positive and Unlabeled Data
We study the problem of learning from positive and unlabeled (PU) data in the federated setting, where each client only labels a little part of their dataset due to the limitation of resources and time.
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
Entity linking (EL) for the rapidly growing short text (e. g. search queries and news titles) is critical to industrial applications.
Location Privacy Protection in Online Query based on Privacy Region Replacement
In order to realize online location query based on Privacy in the location-based service (LBS), a location privacy protection method based on privacy region replacement (PRR) was proposed to improve the query response time without reducing the degree of privacy protection in this paper.
