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06/09/2023
Federated Learning You May Communicate Less Often!
We investigate the generalization error of statistical learning models i...
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04/24/2023
More Communication Does Not Result in Smaller Generalization Error in Federated Learning
We study the generalization error of statistical learning models in a Fe...
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03/09/2023
Data-dependent Generalization Bounds via Variable-Size Compressibility
In this paper, we establish novel data-dependent upper bounds on the gen...
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06/06/2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
In this paper, we use tools from rate-distortion theory to establish new...
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03/04/2022
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
Understanding generalization in modern machine learning settings has bee...
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06/07/2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Neural network compression techniques have become increasingly popular a...
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02/01/2021
Zero-Error Sum Modulo Two with a Common Observation
This paper investigates the classical modulo two sum problem in source c...
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11/23/2020