Federated Machine Learning Solutions
Intel's secure edge computing framework for distributed AI models training at scale.
Explore FeaturesCore Features
Distributed machine learning solutions optimized for edge computing environments.
Secure Distributed AI
Enterprise-grade security for training models across edge devices with Intel SGX technology.
Cross-Device Learning
Collaborative training across mobile, IoT, and edge devices with low bandwidth usage.
Privacy-Preserving Model Training
Differential privacy techniques protect data while maintaining algorithm accuracy.
High-Performance Edge AI
Ultra-low latency edge inference with
Intel oneAPI optimizations.
Real-World Applications
Deploying advanced federated machine learning solutions to industry problems.
Enabling secure, privacy-preserving disease detection with AI from diverse patient data sources via secure computation.
Personalized inventory and price optimization across thousands of locations without centralized data sharing
Intelligent store demand forecasting at scale
Optimize product placement using distributed edge AI training across stores
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Secure, federated AI training across disconnected edge nodes.
Edge device data aggregation without raw data aggregation
Optimized for low-power edge compute
Adaptable models for device heterogeneity
Join our open
federated learning initiative.
Help shape the future of privacy-preserving machine learning through open source.