Deployment

Obtaining MindSpore Federated
Horizontal Federated Cloud-based Deployment
Horizontal Federated Device-side Deployment
Vertical Federated Deployment

Horizontal Application

Federated Learning Image Classification Dataset Process
Implementing an Image Classification Application of Cross-device Federated Learning (x86)
Implementing a Sentiment Classification Application (Android)
Implementing a Cloud-Slio Federated Image Classification Application (x86)
Implementing a Cross-Silo Federated Target Detection Application (x86)

Vertical Application

Vertical Federated Learning Data Access
Vertical Federated Learning Model Training - Wide&Deep Recommendation Application
Vertical Federated Learning Model Training - Pangu Alpha Large Model Cross-Domain Training

Security and Privacy

Horizontal FL-Local Differential Privacy Perturbation Training
Horizontal FL-Local Differential Privacy SignDS training
Horizontal FL-Pairwise encryption training
Vertical Federated-Privacy Set Intersection
Vertical Federated-Feature Protection Based on Information Obfuscation
Vertical Federated - Feature Protection Based on Trusted Execution Environment
Vertical Federated - Label Protection Based on Differential Privacy

Communication Compression

Device-Cloud Federated Learning Communication Compression
Vertical Federated Learning Communication Compression

Horizontal Federated API Reference

Federated Server
Device-side Client
- Callback
- Client
- ClientManager
- DataSet
- FLParameter
- SyncFLJob
- Examples
Cross-Silo

Vertical Federated API Reference

Data Join
Vertical Federated Learning Communicator
Vertical Federated Trainer

References

FAQ

RELEASE NOTES

Release Notes

MindSpore

»
Device-side Client
View page source

Device-side Client

Callback
Client
ClientManager
DataSet
FLParameter
SyncFLJob
Examples

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