This video was recorded at ElixirConf EU 2022 - https://www.elixirconf.eu/ Tiny Data Collectors, Vastly Distributed Systems & the Land of Tiny Challenges | Anna Lito Michala - Assistant Professor in Understandable Autonomous Systems at the School of Computing Science, University of Glasgow ABSTRACT In this talk, I will examine the landscape of IoT devices and the opportunities in the current Erlang/Elixir ecosystem. As more and more people have an interest in deploying ML at the edge we face a future full of untrustworthy and unreliable tiny data collectors with a limited view of their local environment. I will explore how the existing work in distributed systems combined with resilience and reliability techniques could help minimise this issue. Further, I will examine new frameworks and approaches in Federated Learning within this application domain and conclude with open challenges worthy of further research and commercial development opportunities. • Timecodes: 00:00 - 06:12 - Tiny Data collectors 06:13 - 11:33 - On the edge 11:34 - 16:18 - Vastly distributed systems 16:19 - 20:47 - Federated Learning 20:48 - 23:24 - Federated Learning Frameworks 23:25 - 28:37 - The Land of Tiny Challenges 28:38 - 33:41 - Erlang/ Elixir ecosystem 33:42 - 37:21 - The Land of Opportunities 37:22 - 42:54 - QnA • Follow us on social: Twitter: https://twitter.com/ElixirConfEU LinkedIn: https://www.linkedin.com/company/27159258 • Looking for a unique learning experience? Attend the next Code Sync conference near you! See what's coming up at: https://codesync.global • SUBSCRIBE TO OUR CHANNEL https://www.youtube.com/channel/UC47eUBNO8KBH_V8AfowOWOw