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11/09/2021
DP-REC: Private Communication-Efficient Federated Learning
Privacy and communication efficiency are important challenges in federat...
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04/23/2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks
Splitting network computations between the edge device and a server enab...
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11/16/2020
Differential Privacy Meets Maximum-weight Matching
When it comes to large-scale multi-agent systems with a diverse set of a...
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03/02/2020
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
This paper considers the problem of enhancing user privacy in common mac...
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11/22/2019
Federated Learning with Bayesian Differential Privacy
We consider the problem of reinforcing federated learning with formal pr...
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10/18/2019
Federated Generative Privacy
In this paper, we propose FedGP, a framework for privacy-preserving data...
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01/28/2019
Improved Accounting for Differentially Private Learning
We consider the problem of differential privacy accounting, i.e. estimat...
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03/08/2018
