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!
Date: Thursday March 7th, 2024, at 14:15
Place: Lille Aud in the Science building (Realfagsbygget)
Title: ” Toward Distributed In-Network Machine Learning “
Lecturer: DPhil student Changgang Zheng, Engineering Science at the University of Oxford
Abstract
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.
Short bio
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.
https://uit.no/nyheter/artikkel/kortnytt?p_document_id=839951
