Working group planning

Alliance sets up a working group(WG) on topics based on the concerns and needs of its members.

There are currently four groups planned, such as the following:

federated learning data governance and specification

•Research ethics/Data ethics

•Cross-agency common review

•Source related regulations

•Common data model(CMD)：Demonstration case

federated learning technology framework and tools

•Support key technologies required by other groups, such as: blockchain, smart contract, non-fungible token(NFT), data quality management, data imbalance

•Security/Privacy-related tool technologies, such as: anonymous information, differential privacy

federated learning business model

•federated learning collaboration models, including: sub-run, intellectual wealth, AI reuse and so on

•federated learning industry ecosystem construction

Innovative applications & International links

•federated learning cross-industry cooperation/international cooperation

•introduction and participation of international standards

Organize relevant meetings from time to time, invite alliance members and field experts to discuss together

Taiwan AI Federated Learning Alliance Working Group made its debut. It is an honor to invite Professor Cai Fuchang from National Taiwan University School of Medicine, Director Qiu Wencong of the Information Law Center of the Academia Sinica, Professor Li Chongxi from the Institute of Medical and Biotechnology Law of Taipei Medical University to share the topic, and Taipei Medical University The chief data officer Xu Minghui conducted the talks, all of whom are masters with expertise and rich practical experience in AI ethics, privacy protection, data regulations, and big data applications. This conference has more than 20 alliance members from medical centers, universities, industries, and legal persons, and a total of more than 40 representatives participated. After heated discussions, a consensus on “New Data Governance” that replaces “data sharing” with “model sharing” was formed, leading Taiwan’s AI industry development and implementation of human rights and privacy protection. Looking forward to the future launch of various work meetings and operations, inviting experts and members to jointly think about key issues and solutions, draft relevant standards and operating mechanisms, and assist Taiwan in constructing and improving the development environment of the joint learning industry.

Download the abstract of the consultation meeting