On 3 November 2025, the Insurance Authority announced the publication of a Whitepaper on Federated Learning at the Hong Kong FinTech Week. Mr. Clement Cheung emphasized the need for balanced regulation and the role of Federated Learning in cross-sector data collaboration. The IA presented various initiatives to enhance operational resilience and promote advanced technologies.
This article was generated using SAMS, an AI technology by Timothy Loh LLP.
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On 3 November 2025, the Insurance Authority ("IA") published the Whitepaper on Federated Learning during the Hong Kong FinTech Week. Mr. Clement Cheung, the CEO of the IA, underscored the importance for financial regulators to adapt to market changes through balanced regulation to foster responsible innovation. He emphasized the pivotal role of Federated Learning in facilitating data collaboration without compromising personal privacy.
Mr. Cheung also discussed the IA's efforts to bolster operational resilience while embracing advanced technologies. These initiatives included the Open API Framework, Cyber Resilience Assessment Framework, AI Cohort Programme, and Whitepaper on Federated Learning.
Moreover, the IA and InvestHK co-hosted the InsurTech Forum, which featured insightful panel discussions addressing how innovation has transformed marketing strategies, corporate culture, and customer experience in the insurance industry.
Federated Learning is an advanced machine learning technique that allows AI models to be trained on decentralized datasets across multiple devices or servers. This methodology ensures compliance with data privacy regulations and enables collaborative efforts across various entities and sectors.
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