Efficient Distributed Optimization Algorithms for Digital-twin Computing

Project Member(s): Zhang, G.

Funding or Partner Organisation: Nippon Telegraph and Telephone Corporation
Nippon Telegraph and Telephone Corporation

Start year: 2020

Summary: This project intends to develop novel distributed optimization algorithms for digital-twin computing which refers to the framework of creating and learning digital models to mimic the behaviors of real-world entities (e.g., driving a car or playing a video game).

Publications:

Niwa, K, Zhang, G, Kleijn, WB, Harada, N, Sawada, H & Fujino, A 1970, 'Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction', Proceedings of Machine Learning Research, virtual conference, pp. 8195-8204.

FOR Codes: Optimisation , Expanding Knowledge in the Mathematical Sciences, Optimisation, Knowledge Representation and Machine Learning, Machine learning

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.