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02/02/2022
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Large-scale deployments of low Earth orbit (LEO) satellites collect mass...
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10/05/2021
Secure Aggregation for Buffered Asynchronous Federated Learning
Federated learning (FL) typically relies on synchronous training, which ...
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09/29/2021
LightSecAgg: Rethinking Secure Aggregation in Federated Learning
Secure model aggregation is a key component of federated learning (FL) t...
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06/07/2021
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Secure aggregation is a critical component in federated learning, which ...
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11/11/2020
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks
Outsourcing neural network inference tasks to an untrusted cloud raises ...
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11/03/2020
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
We consider a collaborative learning scenario in which multiple data-own...
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07/21/2020
Byzantine-Resilient Secure Federated Learning
Secure federated learning is a privacy-preserving framework to improve m...
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02/11/2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
Federated learning is gaining significant interests as it enables model ...
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02/02/2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
How to train a machine learning model while keeping the data private and...
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06/04/2018