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Replication Files for the paper "Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains" (AIStats 2024)

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Replication Files for the paper "Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains"

This repository presents replication files for the paper "Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains" (2024) by N. Tsoy, A. Mihalkova, T. Todorova, N. Konstantinov, published at AIStats 2024.

Replication Instuctions

Run the uploaded Jupyter notebook file to generate Figure 1 from the paper.

Packages Used

  1. Python 3.11.6
  2. Numpy 1.24.2
  3. Matplotlib 3.6.3
  4. Jupyter Notebook

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Replication Files for the paper "Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains" (AIStats 2024)

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