DataFun 2022 Summit on Privacy Computing and Data Security
DataFun's 2022 summit brings together leading experts from academia and industry to discuss privacy computing, federated learning, secure data sharing, and their applications across finance, healthcare, telecom, and blockchain, offering insights into technologies, standards, and real-world implementations that enable data utility while protecting privacy.
DataFun hosted the DataFun Summit 2022 on July 9, focusing on privacy computing and data security, featuring a full agenda of expert talks, panels, and case studies across multiple industries.
The summit covered key topics such as multi‑party secure computation, federated learning, secure enclaves, blockchain integration, and AI applications, highlighting their role in achieving "data usable but invisible" for sectors like finance, telecom, healthcare, and government.
Renowned speakers included researchers and industry leaders from Tencent, Ant Group, Alibaba, Microsoft, IBM, and leading universities, who presented on provable security, PSI, federated learning challenges, trusted execution environments, and practical deployments.
Attendees could register via QR code, receive exclusive books on privacy computing, and join discussions on standards, certifications, and future trends, with support from partners such as Mechanical Industry Press Huazhang.
The event emphasized collaborative innovation, showcasing real‑world implementations, best practices, and emerging research that advance secure data collaboration while preserving privacy.
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DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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