All the technologies
Federated Evaluation
CAFEIN provides federated evaluation tools that allow models to be tested across diverse data sources held by research institutes and experimental facilities worldwide.
Federated Platform
CAFEIN is a comprehensive federated platform developed and hosted at CERN. Integrating specialized software components, Infrastructure-as-Code (IaC), and CERN’s robust infrastructure, it’s designed to support large-scale scientific collaboration.
Federated Analytics
CAFEIN extends beyond training with federated analytics capabilities, enabling distributed statistical analysis across sensitive datasets.
Federated Learning
Federated learning enables privacy-preserving collaborative model training across distributed data sources without transferring any raw data.
CAFEIN CO₂ Tracker & Optimiser
By combining hardware and system metrics, model characteristics, regional energy data, and federation architecture details, it estimates CO₂ emissions and identifies optimisation strategies such as quantisation, sparsification, and decentralised training.
Secure Aggregation
CAFEIN integrates secure aggregation to enable privacy-preserving federated learning and analytics, encrypting individual data while ensuring efficient, scalable healthcare applications.
Graph Neural Networks
We use graph neural networks to model complex relationships within heterogeneous datasets.
IoT
Engineered for resource-constrained environments, our lightweight software models enable IoT devices to operate at their full capacity. This approach ensures optimal performance without sacrificing battery life and device portability.
Federated Agent
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