FedProM: Federated Process Modeling along the Value Chain

Introduction & Background

FedProM redefines integrated process analysis, modeling, and optimization across entire value chains by addressing the pervasive challenge of data-privacy, enabling stakeholders to enhance decision-making without sacrificing confidential information. As industries shift toward a circular economy, harnessing data along value chains is crucial. FedProM provides a revolutionary solution for this transition.

Core Concept & Innovation

The core of FedProM is Vertical Federated Learning (VFL), a paradigm that facilitates joint data analysis across companies while ensuring that data remains private. By integrating advanced privacy-preserving technologies like Differential Privacy and Secure Multiparty Computation, FedProM allows for effective real-time process optimization without direct data sharing.

Applications & Use Cases

FedProM's technology is particularly transformative for sectors such as waste management, where stakeholders are empowered to optimize processing, sorting, and recycling without exposing sensitive operational data. Other application domains include logistics, where manufacturers can jointly optimize their supply chain and production processes by accessing federated insights from partners and suppliers. This leads to improved inventory management, resource allocation, and streamlined operations.

Potential Impact

FedProM is set to transform industry standards, leading to enhanced sustainability and profitability without compromising data security. Its framework is designed to advance research, drive technology leadership, and create new opportunities in markets demanding privacy-safe collaborations.