After his studies at École Polytechnique (X15) where he followed the Network/Security track, Thomas Feltin completed his MSc in Advanced Computing at Imperial College London where he focused on data science and AI. His Master’s research focused on building a decentralized personal data management system leveraging the audibility properties of the blockchain technology.
Thomas is now undertaking an industrial PhD under the joint supervision of Frank Brockners (Cisco) and Thomas Clausen (École polytechnique)
Latest Posts Mentioning Thomas
Paper: IEEE Access – DNN partitioning for inference throughput acceleration at the edge
Intro I am very excited to present this work, published in the IEEE Access journal, which presents an alternative to standard AI workload acceleration mechanisms at the edge (hardware acceleration, model compression, cloud off-loading). This work, in collaboration with Cisco,…