Thomas Michel-Ange Feltin

Title: Thomas Michel-Ange Feltin: Innovator in Edge Computing

Introduction

Thomas Michel-Ange Feltin is a prominent inventor based in Paris, France. He has made significant contributions to the field of edge computing, particularly in optimizing deep learning workloads. With a total of four patents to his name, Feltin is recognized for his innovative techniques that enhance the performance of artificial neural networks.

Latest Patents

Feltin's latest patents include groundbreaking work on "Partitioning and placement of models of models at a network edge." This patent describes techniques and mechanisms that allow users to run heavy deep learning workloads on standard edge networks without relying on cloud computation. By leveraging available edge computing resources, the techniques enable users to efficiently partition and distribute a Deep Neural Network (DNN) across a network. This allows for the splitting of workloads into multiple parts, which can be processed on smaller, less capable compute nodes in a distributed manner, all while maintaining performance and meeting Service Level Objectives (SLOs).

Another notable patent is "Hidden-layer routing for disaggregated artificial neural networks." This invention introduces novel techniques that optimize the overall inference throughput of standard edge network devices. The methods involve receiving a deep learning model, determining its graph structure, and deploying parts of hidden layers to edge devices as containerized applications. This approach ensures that the network meets Service Level Agreements (SLAs) while efficiently processing heavy workloads.

Career Highlights

Feltin is currently employed at Cisco Technology, Inc., where he continues to push the boundaries of edge computing. His work has been instrumental in developing solutions that address the challenges of deploying deep learning models in real-world applications.

Collaborations

Throughout his career, Feltin has collaborated with notable colleagues, including Frank Brockners and Wenqin Shao. These partnerships have fostered an environment of innovation and have contributed to the advancement of technologies in the field.

Conclusion

Thomas Michel-Ange Feltin is a key figure in the realm of edge computing, with a focus on enhancing deep learning capabilities. His patents reflect a commitment to innovation and efficiency in technology. His contributions are paving the way for future advancements in the industry.