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01/04/2023
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series
Recent rapid development of sensor technology has allowed massive fine-g...
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01/29/2022
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications
As a promising method of central model training on decentralized device ...
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11/01/2021
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
Federated learning (FL), an emerging distributed machine learning paradi...
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10/31/2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Deep learning has attracted broad interest in healthcare and medical com...
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10/22/2020
Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees
(Gradient) Expectation Maximization (EM) is a widely used algorithm for ...
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09/14/2020
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning
Sparse learning is a very important tool for mining useful information a...
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08/11/2020
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
The Alternating Direction Method of Multipliers (ADMM) and its distribut...
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01/14/2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism
Machine learning is increasingly becoming a powerful tool to make decisi...
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01/07/2019