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02/16/2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm Analysis
We address the relatively unexplored problem of hyper-parameter optimiza...
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01/08/2022
Selective Edge Computing for Mobile Analytics
An increasing number of mobile applications rely on Machine Learning (ML...
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12/15/2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
We address the relatively unexplored problem of hyper-parameter optimiza...
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02/21/2020
Anonymizing Data for Privacy-Preserving Federated Learning
Federated learning enables training a global machine learning model from...
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10/07/2019
Differential Privacy-enabled Federated Learning for Sensitive Health Data
Leveraging real-world health data for machine learning tasks requires ad...
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04/22/2019
Maximum Lifetime Analytics in IoT Networks
This paper studies the problem of allocating bandwidth and computation r...
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04/14/2018