Flower
Summit 2022

Flower Platform Update

Flower Ecosystem Update

MLCommons and Federated Learning

Improving Swedish healthcare ecosystem using Flower

Demonstrating a Federated Learning Workflow for a Pancreatic Segmentation Model

Collaborative development for collaborative learning

Practical Privacy-Preserving Federated Learning

FedBN: Federated Learning on non-IID Features via Local Batch Normalization

Democratizing Federated Learning with Blossom and Flower

Deep Embedded Clustering on Federated Learning

Going to Production with Flower

IntegrateFL - Managed Federated Learning as a Service

ZeroFL: Efficient on-device training for federated learning with local sparsity

Node.js meets Flower

Self-Supervised Video Representation Learning in Federated Settings

Secure Aggregation in Flower

End-to-End Speech Recognition from Federated Acoustic Models

Communication-efficient Federated Learning with Autoencoder Compression

Flower speaks C++