Decentralised Collaborative Predictive Analytics on Personal Smart Devices

该项目解决了资源受限的个人设备和大规模数据的个性化预测分析的挑战性问题。在物联网时代，所产生的知识涉及隐私、公平和资源效率。预期成果包括一个协作学习范式，用于在开放和完全分散的环境中在个人智能设备上构建个性化模型。隐私和模型公平性是该范式的核心原则。个性化预测分析是一项前沿研究，将使澳大利亚处于人工智能的最前沿，并为企业提供所需的工具，以安全，公平和竞争优势部署创新的业务系统进行市场开发。

This project tackles the challenging problem of personalised predictive analytics with resource-constrained personal devices and massive-scale data. The knowledge to be generated concerns privacy, fairness, and resource efficiency in the era of Internet of Things. The expected outcomes include a collaborative learning paradigm for building personalised models on personal smart devices in open and fully decentralised settings. Privacy and model fairness are core tenets of the paradigm. Personalised predictive analytics is frontier research that will position Australia at the forefront of AI and give business the tools needed to deploy innovative business systems for market exploitation with a secure, equitable and competitive advantage.