docs(framework:skip) Update tagline (#4509)

panh99 · danieljanes · web-flow · commit 611a1b319f1e · 2024-11-16T08:05:49.000+01:00
Co-authored-by: Daniel J. Beutel &lt;daniel@flower.ai&gt;
diff --git a/README.md b/README.md
@@ -1,4 +1,4 @@
-# Flower: A Friendly Federated Learning Framework
+# Flower: A Friendly Federated AI Framework
 
 <p align="center">
   <a href="https://flower.ai/">
@@ -21,7 +21,7 @@
 [![Docker Hub](https://img.shields.io/badge/Docker%20Hub-flwr-blue)](https://hub.docker.com/u/flwr)
 [![Slack](https://img.shields.io/badge/Chat-Slack-red)](https://flower.ai/join-slack)
 
-Flower (`flwr`) is a framework for building federated learning systems. The
+Flower (`flwr`) is a framework for building federated AI systems. The
 design of Flower is based on a few guiding principles:
 
 - **Customizable**: Federated learning systems vary wildly from one use case to
diff --git a/baselines/doc/source/index.rst b/baselines/doc/source/index.rst
@@ -1,7 +1,7 @@
 Flower Baselines Documentation
 ==============================
 
-Welcome to Flower Baselines' documentation. `Flower <https://flower.ai>`_ is a friendly federated learning framework.
+Welcome to Flower Baselines' documentation. `Flower <https://flower.ai>`_ is a friendly federated AI framework.
 
 
 Join the Flower Community
diff --git a/datasets/README.md b/datasets/README.md
@@ -6,7 +6,7 @@
 ![Downloads](https://pepy.tech/badge/flwr-datasets)
 [![Slack](https://img.shields.io/badge/Chat-Slack-red)](https://flower.ai/join-slack)
 
-Flower Datasets (`flwr-datasets`) is a library to quickly and easily create datasets for federated learning, federated evaluation, and federated analytics. It was created by the `Flower Labs` team that also created Flower: A Friendly Federated Learning Framework.
+Flower Datasets (`flwr-datasets`) is a library to quickly and easily create datasets for federated learning, federated evaluation, and federated analytics. It was created by the `Flower Labs` team that also created Flower: A Friendly Federated AI Framework.
 
 
 > [!TIP]
diff --git a/datasets/doc/source/index.rst b/datasets/doc/source/index.rst
@@ -1,7 +1,7 @@
 Flower Datasets
 ===============
 
-Flower Datasets (``flwr-datasets``) is a library that enables the quick and easy creation of datasets for federated learning/analytics/evaluation. It enables heterogeneity (non-iidness) simulation and division of datasets with the preexisting notion of IDs. The library was created by the ``Flower Labs`` team that also created `Flower <https://flower.ai>`_ : A Friendly Federated Learning Framework.
+Flower Datasets (``flwr-datasets``) is a library that enables the quick and easy creation of datasets for federated learning/analytics/evaluation. It enables heterogeneity (non-iidness) simulation and division of datasets with the preexisting notion of IDs. The library was created by the ``Flower Labs`` team that also created `Flower <https://flower.ai>`_ : A Friendly Federated AI Framework.
 
 Try out an interactive demo to generate code and visualize heterogeneous divisions at the :ref:`bottom of this page<demo>`.
 
diff --git a/dev/build-example-docs.py b/dev/build-example-docs.py
@@ -28,7 +28,7 @@
 -----------------------------
 
 Welcome to Flower Examples' documentation. `Flower <https://flower.ai>`_ is
-a friendly federated learning framework.
+a friendly federated AI framework.
 
 Join the Flower Community
 -------------------------
diff --git a/dev/swift-docs-resources/footer.html b/dev/swift-docs-resources/footer.html
diff --git a/doc/locales/fr/LC_MESSAGES/framework-docs.po b/doc/locales/fr/LC_MESSAGES/framework-docs.po
@@ -9294,10 +9294,10 @@ msgstr "Rédiger de la documentation"
 #: ../../source/index.rst:7
 msgid ""
 "Welcome to Flower's documentation. `Flower <https://flower.ai>`_ is a "
-"friendly federated learning framework."
+"friendly federated AI framework."
 msgstr ""
 "Bienvenue sur la documentation de Flower. `Flower <https://flower.ai>`_ "
-"est un framework de federated learning convivial et facile à utiliser."
+"est un framework de federated AI convivial et facile à utiliser."
 
 #: ../../source/index.rst:11
 msgid "Join the Flower Community"
diff --git a/doc/locales/ko/LC_MESSAGES/framework-docs.po b/doc/locales/ko/LC_MESSAGES/framework-docs.po
@@ -9031,7 +9031,7 @@ msgstr "플라워 프레임워크 문서"
 #: ../../source/index.rst:7
 msgid ""
 "Welcome to Flower's documentation. `Flower <https://flower.ai>`_ is a "
-"friendly federated learning framework."
+"friendly federated AI framework."
 msgstr "Flower 문서에 오신 것을 환영합니다. Flower <https://flower.ai>`_는 편한 연합 학습 프레임워크입니다."
 
 #: ../../source/index.rst:11
diff --git a/doc/locales/pt_BR/LC_MESSAGES/framework-docs.po b/doc/locales/pt_BR/LC_MESSAGES/framework-docs.po
@@ -7895,7 +7895,7 @@ msgstr ""
 #: ../../source/index.rst:7
 msgid ""
 "Welcome to Flower's documentation. `Flower <https://flower.ai>`_ is a "
-"friendly federated learning framework."
+"friendly federated AI framework."
 msgstr ""
 
 #: ../../source/index.rst:11
diff --git a/doc/locales/zh_Hans/LC_MESSAGES/framework-docs.po b/doc/locales/zh_Hans/LC_MESSAGES/framework-docs.po
@@ -8940,7 +8940,7 @@ msgstr "Flower 框架文档"
 #: ../../source/index.rst:7
 msgid ""
 "Welcome to Flower's documentation. `Flower <https://flower.ai>`_ is a "
-"friendly federated learning framework."
+"friendly federated AI framework."
 msgstr "欢迎访问 Flower 文档。`Flower <https://flower.ai>`_ 是一个友好的联邦学习框架。"
 
 #: ../../source/index.rst:11
diff --git a/glossary/flower-datasets.mdx b/glossary/flower-datasets.mdx
@@ -13,7 +13,7 @@ related:
       link: "https://github.com/adap/flower/tree/main/datasets"
 ---
 
-Flower Datasets is a library that enables the creation of datasets for federated learning/analytics/evaluation by partitioning centralized datasets to exhibit heterogeneity or using naturally partitioned datasets. It was created by the Flower Labs team, which also created Flower - a Friendly Federated Learning Framework.
+Flower Datasets is a library that enables the creation of datasets for federated learning/analytics/evaluation by partitioning centralized datasets to exhibit heterogeneity or using naturally partitioned datasets. It was created by the Flower Labs team, which also created Flower - A Friendly Federated AI Framework.
 
 The key features include:
 * downloading datasets (HuggingFace `datasets` are used under the hood),
diff --git a/pyproject.toml b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "poetry.core.masonry.api"
 [tool.poetry]
 name = "flwr"
 version = "1.13.0"
-description = "Flower: A Friendly Federated Learning Framework"
+description = "Flower: A Friendly Federated AI Framework"
 license = "Apache-2.0"
 authors = ["The Flower Authors <hello@flower.ai>"]
 readme = "README.md"
diff --git a/src/kotlin/gradle.properties b/src/kotlin/gradle.properties
@@ -30,7 +30,7 @@ POM_ARTIFACT_ID=flwr
 VERSION_NAME=0.0.2
 
 POM_NAME=Flower Android
-POM_DESCRIPTION=A Friendly Federated Learning Framework
+POM_DESCRIPTION=A Friendly Federated AI Framework
 POM_INCEPTION_YEAR=2023
 POM_URL=https://github.com/adap/flower/
 
diff --git a/src/swift/flwr/Sources/Flower/flwr.docc/flwr.md b/src/swift/flwr/Sources/Flower/flwr.docc/flwr.md
@@ -1,6 +1,6 @@
 # ``flwr``
 
-Seamlessly integrate Flower federated learning framework into your existing machine learning project.
+Seamlessly integrate Flower federated AI framework into your existing machine learning project.
 
 ## Overview
 
