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03/02/2021
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation
In this paper, we study the problem of federated learning over a wireles...
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07/22/2020
When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks
We consider three major text sources about the Tang Dynasty of China in ...
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01/23/2020
Communication Efficient Federated Learning over Multiple Access Channels
In this work, we study the problem of federated learning (FL), where dis...
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12/19/2019
Cache-Aided Content Delivery in Fog-RAN Systems with Topological Information and no CSI
In this work, we consider a Fog Radio Access Network (F-RAN) system with...
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06/25/2019
On the Upload versus Download Cost for Secure and Private Matrix Multiplication
In this paper, we study the problem of secure and private distributed ma...
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05/16/2019
Random Sampling for Distributed Coded Matrix Multiplication
Matrix multiplication is a fundamental building block for large scale co...
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06/01/2018
