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09/01/2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
Federated learning (FL) is a framework for training machine learning mod...
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06/21/2022
Three-way optimization of privacy and utility of location data
With the recent bloom of data and the drive towards an information-based...
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06/07/2022
Group privacy for personalized federated learning
Federated learning is a type of collaborative machine learning, where pa...
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06/04/2022
A privacy preserving querying mechanism with high utility for electric vehicles
With the recent rise in awareness about advancing towards a sustainable ...
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06/02/2022
Impact of Sampling on Locally Differentially Private Data Collection
With the recent bloom of data, there is a huge surge in threats against ...
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05/18/2022
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response
Most differentially private (DP) algorithms assume a central model in wh...
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05/09/2022
Tight Differential Privacy Blanket for Shuffle Model
With the recent bloom of focus on digital economy, the importance of per...
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11/30/2021
Establishing the Price of Privacy in Federated Data Trading
Personal data is becoming one of the most essential resources in today's...
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06/27/2021
