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02/02/2023
Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning
We study stochastic optimization with linearly correlated noise. Our stu...
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08/19/2022
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
Federated learning (FL) is a framework for machine learning across heter...
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02/16/2022
Private Online Prefix Sums via Optimal Matrix Factorizations
Motivated by differentially-private (DP) training of machine learning mo...
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11/30/2019
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Federated Learning enables mobile devices to collaboratively learn a sha...
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02/22/2019
Federated Heavy Hitters Discovery with Differential Privacy
The discovery of heavy hitters (most frequent items) in user-generated d...
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05/25/2018
