Connecting Heavy Tails and Differential Privacy in Machine Learning

Connecting Heavy Tails and Differential Privacy in Machine Learning

This is a past event

Organised by The Alan Turing Institutte in conjunction with the Isaac Newton Institute, this Open for Business event will discuss cutting-edge research in data science, where heavy-tailed distributions and differential privacy converge. This session of talks from industry and academia bridges theoretical insights with practical applications, shedding light on the role of heavy-tails in machine learning and of differential privacy in data protection compliance, thus shaping the future landscape of data-driven decision-making.

Registration deadline: 21st April 2024.

This event will also be hosted as hybrid via Zoom.

External event: The University of Aberdeen is a member of The Turing University Network, a network committed to offering UK universities the opportunity to engage and collaborate both with The Alan Turing Institute and its broader networks in academia, industry and the public sector. Discover more about the university becoming a member of The Turing University Network: Turing Universities Network | Research | The University of Aberdeen (abdn.ac.uk)

Venue
The workshop will take place at the Wellcome Collection.