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A Unified Prediction Framework for Signal Maps
This improves prediction (e. g., from 64% to 94% in recall for coverage loss) by removing points with negative values, and can also enable data minimization.
Location Leakage in Federated Signal Maps
We consider the problem of predicting cellular network performance (signal maps) from measurements collected by several mobile devices.
A Federated Learning Approach for Mobile Packet Classification
In this paper, we apply, for the first time, a Federated Learning approach to mobile packet classification, which allows mobile devices to collaborate and train a global model, without sharing raw training data.
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