Saradindu Sengupta - How can a learnt ML model unlearn something: Framework for "Machine Unlearning"

Опубликовано: 05 Сентябрь 2024
на канале: PyData
98
4

www.pydata.org

In the recent past with the explosion of large language or vision models, it became inherently very costly to train models on new data. Coupled with that the various new data privacy legislations introduced or to be introduced make the "right to be forgotten" very costly and time-consuming. In this talk, we will go through the current state of research on "machine unlearning", how a learnt model forgets something without retraining and a general demonstration of the machine unlearning framework.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...


Смотрите видео Saradindu Sengupta - How can a learnt ML model unlearn something: Framework for "Machine Unlearning" онлайн, длительностью часов минут секунд в хорошем качестве, которое загружено на канал PyData 05 Сентябрь 2024. Делитесь ссылкой на видео в социальных сетях, чтобы ваши подписчики и друзья так же посмотрели это видео. Данный видеоклип посмотрели 98 раз и оно понравилось 4 посетителям.