DLFi – The Distributed Learning Framework

Conventional ML training has the safety concern of collecting all data in a single place and violating the privacy of the data owners. DLFi aims to solve this. 

DLFi is a Privacy-Preserving AI-as-as-Service (PP-AIaaS) solution. It provides a training environment on remote sites without necessarily displacing or transferring the data. It enables data providers to train a ML model without revealing their business-critical data to each other. DLFi offers communication-efficiency and guarantees the privacy of data owners.

• Privacy-Preserving
• Cloud-Native
• Modular and Pluggable
• Customized Visualization Dashboard
• GPU-Acceleration Support

• ML Model Training over Geo-distributed Data Sources
• Collaborative ML Model Training in Multi-domain Multi-vendor and Disaggregated Networks
• Shared Governance and Ownership of ML Models

• QoT Estimation in Multi-domain Multi-vendor Optical Networks
• Vision Inspection for Quality Assurance in Factory Shop Floors

• AcumosAI Federated Marketplaces

• Demonstration of Federated Learning over Edge-Computing Enabled Metro Optical Networks at ECOC 2020