Wednesday Oct 2
14:15 –
15:00
TAP1, Breakout 2
Encrypted Computation: What if Decryption Wasn’t Needed?
If you are curious about the field of cryptography and what it has to offer data science and machine learning, this talk is for you!
We'll dive into the field of encrypted computation, where decryption isn't needed in order to perform calculations, transformations and operations on the data. You'll learn some of the core mathematical theory behind why and how this works, as well as the differences between approaches like homomorphic encryption and secure multi-party computation. At the end, you'll get some pointers and open-source library hints on where to go next and how to start using encrypted computation for problems you are solving the hard way (or not solving at all).
Keynotes
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X Marks the Spot: Navigating Possible FuturesSimon WardleyWednesday Oct 2, 13:00
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Using Generative AI to Strengthen and Speed LearningBarbara OakleyWednesday Oct 2, 09:00
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From Strategy to Practice: Insights on How Team Topologies Drive Organizational SuccessManuel PaisWednesday Oct 2, 17:30
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To the MoonRuss OlsenWednesday Oct 2, 19:30
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Things They Don't Tell You About Being a Tech LeaderMichael NygardFriday Oct 4, 16:30
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The Magic of Small Things - 10 Years of MicroservicesJames LewisThursday Oct 3, 17:30
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The Past, Present and Future of Programming LanguagesKevlin HenneyFriday Oct 4, 09:00
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Architecture and Responsible TechnologyRebecca ParsonsFriday Oct 4, 13:00
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Tidy First? A Daily Exercise in Empirical DesignKent BeckThursday Oct 3, 13:00
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The Future of MicroprocessorsSophie WilsonThursday Oct 3, 09:00