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adap · Jun 28, 2024 · dd29d27 · dd29d27
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diff --git a/examples/android-kotlin/README.md b/examples/android-kotlin/README.md
@@ -2,7 +2,7 @@
 title: Flower Android Example using Kotlin and TF Lite
 labels: [basic, vision, fds]
 dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
-framework: [Android, Kotlin, TensorFlowLite]
+framework: [Android | https://www.android.com/, Kotlin | https://kotlinlang.org/, TensorFlowLite | https://www.tensorflow.org/lite]
 ---
 
 # Flower Android Client Example with Kotlin and TensorFlow Lite 2022

diff --git a/examples/android/README.md b/examples/android/README.md
@@ -2,7 +2,7 @@
 title: Flower Android Example using Java and TF Lite
 labels: [basic, vision, fds]
 dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
-framework: [Android, Java, TensorFlowLite]
+framework: [Android | https://www.android.com/, Java | https://www.java.com/, TensorFlowLite | https://www.tensorflow.org/lite]
 ---
 
 # Flower Android Example (TensorFlowLite)

diff --git a/examples/flower-via-docker-compose/README.md b/examples/flower-via-docker-compose/README.md
@@ -2,7 +2,7 @@
 title: Leveraging Flower and Docker for Device Heterogeneity Management in FL 
 labels: [deployment, vision, tutorial]
 dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
-framework: [Docker]
+framework: [Docker | https://www.docker.com/]
 ---
 
 # Leveraging Flower and Docker for Device Heterogeneity Management in Federated Learning

diff --git a/examples/ios/README.md b/examples/ios/README.md
@@ -2,7 +2,7 @@
 title: Simple Flower Example on iOS
 labels: [mobile, vision, fds]
 dataset: [MNIST | https://huggingface.co/datasets/ylecun/mnist]
-framework: [swift]
+framework: [Swift | https://www.swift.org/]
 ---
 
 # FLiOS - A Flower SDK for iOS Devices with Example

diff --git a/examples/opacus/README.md b/examples/opacus/README.md
@@ -2,7 +2,7 @@
 title: Sample-Level Differential Privacy using Opacus
 labels: [dp, security, fds]
 dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
-framework: [opacus, PyTorch]
+framework: [opacus | https://opacus.ai/, torch | https://pytorch.org/]
 ---
 
 # Training with Sample-Level Differential Privacy using Opacus Privacy Engine

diff --git a/examples/quickstart-cpp/README.md b/examples/quickstart-cpp/README.md
@@ -2,7 +2,7 @@
 title: Simple Flower Example using C++
 labels: [quickstart, linear regression, tabular]
 dataset: [Synthetic]
-framework: [C++]
+framework: [C++ | https://isocpp.org/]
 ---
 
 # Flower Clients in C++ (under development)

diff --git a/examples/whisper-federated-finetuning/README.md b/examples/whisper-federated-finetuning/README.md
@@ -2,7 +2,7 @@
 title: On-device Federated Finetuning for Speech Classification
 labels: [finetuning, speech, transformers]
 dataset: [SpeechCommands | https://huggingface.co/datasets/google/speech_commands]
-framework: [huggingface, whisper]
+framework: [transformers | https://huggingface.co/docs/transformers/index, whisper | https://huggingface.co/openai/whisper-tiny]
 ---
 
 # On-device Federated Finetuning for Speech Classification