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Found 2 papers, 1 papers with code
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors
Federated machine learning leverages edge computing to develop models from network user data, but privacy in federated learning remains a major challenge.
Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling
Satellite imagery and remote sensing provide explanatory variables at relatively high resolutions for modeling geospatial phenomena, yet regional summaries are often desirable for analysis and actionable insight.
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