12 citations · 20 across the 5 of their papers we have counts for
5 papers
Group privacy for personalized federated learning
Filippo Galli, Sayan Biswas, Kangsoo Jung +2
Federated learning (FL) is a type of collaborative machine learning where participating peers/clients process their data locally, sharing only updates to the collaborative model. T…
Tight Differential Privacy Blanket for Shuffle Model
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
With the recent bloom of focus on digital economy, the importance of personal data has seen a massive surge of late. Keeping pace with this trend, the model of data market is start…
Tight Differential Privacy Guarantees for the Shuffle Model with -Randomized Response
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Most differentially private (DP) algorithms assume a central model in which a reliable third party inserts noise to queries made on datasets, or a local model where the users local…
Establishing the Price of Privacy in Federated Data Trading
Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
Personal data is becoming one of the most essential resources in today's information-based society. Accordingly, there is a growing interest in data markets, which operate data tra…
An Incentive Mechanism for Trading Personal Data in Data Markets
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
With the proliferation of the digital data economy, digital data is considered as the crude oil in the twenty-first century, and its value is increasing. Keeping pace with this tre…