In addition to standard federated learning, this version also supports XAI (Explainable AI) using Grad-CAM. When enabled, the client can generate visual explanations for model predictions on sample …

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.

Flower is a full-stack AI neolab with a mission to advance collaborative superintelligence by building open-source frontier models, agents, and infrastructure.

What is Federated Learning? ¶ Welcome to the Flower federated learning tutorial! In this tutorial, you will learn what federated learning is, build your first system in Flower, and gradually extend it. If you work …

Feb 9, 2026 · The Flower team is excited to announce the release of Flower 1.26.1 stable! Flower is a friendly framework for collaborative AI and data science. It makes novel approaches such as …

In this Flower explainer, learn how differential privacy ensures data security in federated learning, with central & local approaches to prevent leakage of sensitive information during model training.

Guide to use Flower’s Deployment Runtime and run a Flower App through a federation consisting of a SuperLink and two SuperNodes.

Nov 5, 2025 · Flower is a full-stack AI neolab with a mission to advance collaborative superintelligence by building open-source frontier models, agents, and infrastructure.

python -m fjord.main # without knowledge distillation # or python -m fjord.main +train_mode = fjord_kd # with knowledge distillation

Feb 21, 2024 · This question was migrated from Github Discussions. Original questions: “Hi, I want to use Federated Learning with my one of the existing classification machine learning models in which I …

See also for instance the configuration files for CIFAR10 and CIFAR100 under the conf directory. Expected Results ¶ The default algorithm used by all configuration files is fedrep. To use fedavg …