Training

2 items

ML Experiments — machine-learning , training
Guidance for reproducible, resource-aware machine learning experiments; leveraging lightweight MLOps primitives, strict environment versioning, seed management, and rigorous, deterministic model evaluation protocols.
Privacy-Preserving Federated Learning Platform — data-pipelines , machine-learning , privacy and +1 more
A secure platform design for advanced federated learning pipelines; training models directly across edge devices without sharing raw telemetry, utilizing secure local aggregation and robust privacy safeguards.