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03/22/2023
Exploring the Benefits of Visual Prompting in Differential Privacy
Visual Prompting (VP) is an emerging and powerful technique that allows ...
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04/01/2022
LDP-IDS: Local Differential Privacy for Infinite Data Streams
Streaming data collection is essential to real-time data analytics in va...
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03/02/2022
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
Federated learning (FL) is an emerging privacy-preserving paradigm that ...
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10/09/2020
Latent Dirichlet Allocation Model Training with Differential Privacy
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
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09/29/2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data
In Internet of Things (IoT) driven smart-world systems, real-time crowd-...
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04/22/2020
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints
Distributed machine learning (ML) at network edge is a promising paradig...
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12/17/2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
Federated learning has been showing as a promising approach in paving th...
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11/27/2019
Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Differential privacy provides a rigorous framework to quantify data priv...
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06/05/2019
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis
It has been widely understood that differential privacy (DP) can guarant...
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06/05/2019
Locally Differentially Private Data Collection and Analysis
Local differential privacy (LDP) can provide each user with strong priva...
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06/04/2019
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
With the rapid development of artificial intelligence (AI), ethical issu...
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06/04/2019
