DataFun 2022 Summit on Data Security and Privacy Computing
The DataFun 2022 summit on data security and privacy computing brings together leading experts from industry and academia to discuss the latest advances in federated learning, multi‑party computation, trusted execution environments, blockchain integration, and their applications across finance, healthcare, telecommunications, and digital government.
The DataFun 2022 summit focuses on data security and privacy computing, featuring a full‑day online conference that explores how technologies such as federated learning, multi‑party computation, trusted execution environments, and blockchain can enable "data usable but invisible" in the digital economy.
Key topics include privacy‑preserving AI, secure multi‑party computation, federated learning frameworks, blockchain‑based trust mechanisms, and practical case studies from finance, advertising, telecommunications, cloud services, and healthcare.
More than 60 distinguished speakers from leading organizations—Tencent, Ant Group, Alibaba, Microsoft, IBM, Baidu, Intel, and top universities—share their research, product roadmaps, and real‑world deployments.
Participants can register for free by scanning the QR code, join the event group, and gain access to live streams, exclusive whitepapers, and a chance to receive the "Privacy Computing Casebook" and a printed copy of "Introduction to Privacy Computing".
The summit is organized by DataFun with support from Mechanical Industry Press (Huazhang) and features partner logos and sponsor acknowledgments.
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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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