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09/14/2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning
Automatic Speech Recognition models require large amount of speech data ...
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05/06/2022
Online Model Compression for Federated Learning with Large Models
This paper addresses the challenges of training large neural network mod...
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10/07/2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout
Federated learning can be used to train machine learning models on the e...
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05/04/2020
Customizable and Rigorous Location Privacy through Policy Graph
Location privacy has been extensively studied in the literature. However...
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05/01/2020
PANDA: Policy-aware Location Privacy for Epidemic Surveillance
In this demonstration, we present a privacy-preserving epidemic surveill...
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07/25/2019
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services
Location privacy-preserving mechanisms (LPPMs) have been extensively stu...
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10/22/2018
PriSTE: From Location Privacy to Spatiotemporal Event Privacy
Location privacy-preserving mechanisms (LPPMs) have been extensively stu...
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11/29/2017
