Federated Learning over Harmonized Data Silos

Federated Learning is a distributed machine learning approach that enables geographically distributed data silos to collaboratively learn a joint machine learning model without sharing data. Most of the existing work operates on unstructured data, such as images or text, or on structured data assume...

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Veröffentlicht in:	arXiv.org 2023-05
Hauptverfasser:	Stripelis, Dimitris, Ambite, Jose Luis
Format:	Artikel
Sprache:	eng
Schlagworte:	Data exchange Data integration Data management Geographical distribution Information management Machine learning Management information systems Structured data Unstructured data
Online-Zugang:	Volltext
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