Changgang Zheng, a final-year DPhil student in Engineering Science at the University of Oxford, will visit our AGC group and give a guest lecture on distributed in-network machine learning. Welcome!<\/p>\n\n\n\n
Date:<\/strong> Thursday March 7th, 2024, at 14:15 Abstract<\/strong> Short bio<\/strong> https:\/\/uit.no\/nyheter\/artikkel\/kortnytt?p_document_id=839951<\/a><\/p>\n
Place:<\/strong> Lille Aud in the Science building (Realfagsbygget)
Title:<\/strong> ” Toward Distributed In-Network Machine Learning<\/em> “
Lecturer:<\/strong> DPhil student Changgang Zheng<\/a>, Engineering Science at the University of Oxford<\/p>\n\n\n\n
Deploying in-network machine learning applications in programmable network devices faces challenges in scalability due to resource constraints. This presentation introduces DINC, a distributed deployment framework used to scale in-network computing models. The framework generates deployment strategies, overcomes resource constraints and provides functionality guarantees across a network. DINC uses multi-objective optimization to provide a deployment strategy, slicing P4 programs accordingly. DINC was evaluated using seven different workloads on both data center and wide-area network topologies, demonstrating feasibility and scalability, providing efficient distribution plans within seconds. DINC is open-source and publicly available via GitHub.<\/p>\n\n\n\n
I am Changgang Zheng, a final-year DPhil student in Engineering Science at the University of Oxford. My research interests include networking, in-network computing, and machine learning. A specific interest of mine is applying in-network computing and machine learning techniques to address networking challenges.<\/p>\n\n\n\n