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Restructure framework explainers (adap#2235)
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danieljanes authored and alessiomora committed Aug 30, 2023
1 parent 20b765a commit 008c956
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4 changes: 4 additions & 0 deletions doc/source/conf.py
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"logging": "how-to-configure-logging.html",
"ssl-enabled-connections": "how-to-enable-ssl-connections.html",
"upgrade-to-flower-1.0": "how-to-upgrade-to-flower-1.0.html",

# Restructuring: explanations
"evaluation": "explanation-federated-evaluation.html",
"differential-privacy-wrappers": "explanation-differential-privacy.html",

# Deleted pages
"people": "index.html",
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Differential Privacy Wrappers in Flower
=======================================
Differential privacy
====================

Flower provides differential privacy (DP) wrapper classes for the easy integration of the central DP guarantees provided by DP-FedAvg into training pipelines defined in any of the various ML frameworks that Flower is compatible with.

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Evaluation
==========
Federated evaluation
====================

There are two main approaches to evaluating models in federated learning systems: centralized (or server-side) evaluation and federated (or client-side) evaluation.


Centralized Evaluation
----------------------

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def evaluate(self, parameters, config):
# ...
Full Code Example
-----------------

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4 changes: 2 additions & 2 deletions doc/source/index.rst
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:maxdepth: 1
:caption: Explanations

evaluation
differential-privacy-wrappers
explanation-federated-evaluation
explanation-differential-privacy

References
~~~~~~~~~~
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