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Awesome GitHub RepositoriesRemote Data Analysis
Execution of data science workflows on datasets hosted on remote servers for privacy.
Distinct from Remote Data Management: Distinct from data inspection or fetching; involves the full execution of analysis workflows on remote hosts.
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Awesome Remote Data Analysis GitHub Repositories
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- openmined/pysyft
OpenMined/PySyft
9,907Auf GitHub ansehenPySyft is a privacy-preserving machine learning framework and remote computation engine. It functions as a decentralized data analysis orchestrator that allows for the execution of data science workflows on remote servers without requiring the transfer of raw private data from the host device. The platform provides a secure collaboration environment where data owners manage permissions and authorize specific collaborators to run computations. It differentiates its workflow by utilizing mock data for local development and validation before submitting final analysis jobs to private remote serve
Executes machine learning workflows on datasets hosted on remote servers to maintain strict data privacy.
Pythoncryptographydeep-learningfederated-learning
