City-wide signal strength maps: Prediction with random forests
Signal strength maps are of great importance to cellular providers for network planning and
operation, however they are expensive to obtain and possibly limited or inaccurate in some …
operation, however they are expensive to obtain and possibly limited or inaccurate in some …
Fast and light bandwidth testing for internet users
Bandwidth testing measures the access bandwidth of end hosts, which is crucial to
emerging Internet applications for network-aware content delivery. However, today's …
emerging Internet applications for network-aware content delivery. However, today's …
A unified prediction framework for signal maps: Not all measurements are created equal
Signal maps are essential for the planning and operation of cellular networks. However, the
measurements needed to create such maps are expensive, often biased, not always …
measurements needed to create such maps are expensive, often biased, not always …
Fast uplink bandwidth testing for internet users
Access bandwidth measurement is crucial to emerging Internet applications for network-
aware content delivery. However, today's bandwidth testing services (BTSes) are slow and …
aware content delivery. However, today's bandwidth testing services (BTSes) are slow and …
Privacy-utility trades in crowdsourced signal map obfuscation
Cellular providers and data aggregating companies crowdsource cellular signal strength
measurements from user devices to generate signal maps, which can be used to improve …
measurements from user devices to generate signal maps, which can be used to improve …
Antmonitor: A system for on-device mobile network monitoring and its applications
In this paper, we present a complete system for on-device passive monitoring, collection,
and analysis of fine grained, large-scale packet measurements from mobile devices. First …
and analysis of fine grained, large-scale packet measurements from mobile devices. First …
Location leakage in federated signal maps
We consider the problem of predicting cellular network performance (signal maps) from
measurements collected by several mobile devices. We formulate the problem within the …
measurements collected by several mobile devices. We formulate the problem within the …
A unified prediction framework for signal maps
Signal maps are essential for the planning and operation of cellular networks. However, the
measurements needed to create such maps are expensive, often biased, not always …
measurements needed to create such maps are expensive, often biased, not always …
[LIBRO][B] Federated Learning for Mobile Data Privacy
E Bakopoulou - 2021 - search.proquest.com
Mobile devices have access to rich personal, potentially sensitive data, from online activity
and multiple sensors that include personally identifiable information (PII), such as user …
and multiple sensors that include personally identifiable information (PII), such as user …
Optimizing Privacy-Utility Trade-Offs in AI-Enabled Network Applications
J Zhang - 2024 - search.proquest.com
Over the past decade, Artificial Intelligence (AI) techniques have been widely used in
various network applications, significantly enhancing the intelligence, efficiency, and …
various network applications, significantly enhancing the intelligence, efficiency, and …