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Found 6 papers, 0 papers with code
Private Knowledge Sharing in Distributed Learning: A Survey
In this light, it is crucial to utilize information in learning processes that are either distributed or owned by different entities.
Differentially Private Vertical Federated Learning
Thus, in this paper, we aim to explore how to protect the privacy of individual organisation data in a differential privacy (DP) setting.
Privacy-preserving Deep Learning based Record Linkage
The global model is then used by a linkage unit to distinguish unlabelled record pairs as matches and non-matches.
Vertical Federated Learning: Challenges, Methodologies and Experiments
As a special architecture in FL, vertical FL (VFL) is capable of constructing a hyper ML model by embracing sub-models from different clients.
Large Scale Record Linkage in the Presence of Missing Data
We evaluate the linkage quality and scalability of our approach using large real-world databases, showing that it can achieve high linkage quality even when the databases being linked contain substantial amounts of missing values and errors.
Temporal graph-based clustering for historical record linkage
Research in the social sciences is increasingly based on large and complex data collections, where individual data sets from different domains are linked and integrated to allow advanced analytics.
