Leo Marche

Title: Innovations by Leo Marche

Introduction

Leo Marche is an accomplished inventor based in Le Pin, France. He has made significant contributions to the field of deep learning and edge computing. His innovative approach allows users to efficiently run heavy deep learning workloads on standard edge networks.

Latest Patents

Leo Marche holds a patent for "Partitioning and placement of models of models at a network edge." This patent describes techniques and mechanisms that enable users to run heavy deep learning workloads without off-loading computation to the cloud. By leveraging available edge computing resources, he has developed methods for efficiently partitioning and distributing a Deep Neural Network (DNN) over a network. The techniques allow users to split workloads into multiple parts and process them on smaller, less capable compute nodes in a distributed manner, all while maintaining performance and meeting Service Level Objectives (SLO).

Career Highlights

Leo Marche is currently employed at Cisco Technology, Inc., where he continues to innovate in the field of edge computing. His work focuses on enhancing the capabilities of edge networks to support advanced deep learning applications.

Collaborations

Some of his notable coworkers include Thomas Michel-Ange Feltin and Andre Surcouf, who contribute to the collaborative environment at Cisco Technology, Inc.

Conclusion

Leo Marche's contributions to deep learning and edge computing demonstrate his commitment to advancing technology. His innovative patent reflects a significant step forward in enabling efficient computation on edge networks.