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03/20/2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing and Neural Networks with Quadratic Activations
Pruning schemes have been widely used in practice to reduce the complexi...
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02/19/2020
Personalized Federated Learning: A Meta-Learning Approach
The goal of federated learning is to design algorithms in which several ...
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02/12/2020
Distribution-Agnostic Model-Agnostic Meta-Learning
The Model-Agnostic Meta-Learning (MAML) algorithm <cit.> has been celebr...
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09/28/2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Federated learning is a new distributed machine learning approach, where...
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08/27/2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
In this paper, we study the convergence theory of a class of gradient-ba...
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06/03/2019
