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04/28/2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning
Federated learning is a private-by-design distributed learning paradigm ...
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01/31/2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
Deep machine learning models are increasingly deployedin the wild for pr...
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06/20/2021
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
Shapley Value is commonly adopted to measure and incentivize client part...
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11/13/2020
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models
Labeling real-world datasets is time consuming but indispensable for sup...
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07/19/2018
Label Aggregation via Finding Consensus Between Models
Label aggregation is an efficient and low cost way to make large dataset...
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06/13/2017
