
Tech Talk: Introduction to NVIDIA Federated Learning: Concepts, Technology, and Use Cases
Speaker: Holger Roth (NVIDIA)
Abstract: Federated learning (FL) empowers collaborative AI model development by enabling distributed training without the need to centralize data, ensuring privacy and security. NVIDIA FLARE, our open-source SDK, is designed to simplify the adoption of FL. This lightweight, flexible, and scalable Python package supports cutting-edge FL algorithms and facilitates privacy-preserving, distributed learning & computing across enterprises.
By leveraging advanced technologies like encryption, differential privacy, and confidential computing, NVIDIA FLARE ensures secure and efficient collaboration. Its seamless integration with popular training libraries, such as PyTorch and TensorFlow, and support for customizable workflows make it versatile and adaptable to a variety of domains.
This Webinar will cover how NVIDIA FLARE is already driving innovation in fields such as medical imaging, biopharma, and finance, showcasing its potential to address critical challenges in privacy-sensitive and distributed data environments.
This virtual AI seminar is hosted by SF Big Analytics.
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