Add "Opportunities and Challenges" discussion outline

agenda/README.md

@@ -10,9 +10,33 @@
 >
 >✅ **Goal:** Determine what are the unique opportunities of browser-based ML, what are the obstacles hindering adoption
 
-- 👋 Introduction to the workshop
-- [💡 "Opportunities and Challenges" discussion topics](https://github.com/w3c/machine-learning-workshop/issues?q=is%3Aissue+is%3Aopen+label%3A%22Opportunities+and+Challenges%22+sort%3Acomments-desc)
+👋 Introduction to the workshop - @anssiko @dontcallmedom
 
+[💡 "Opportunities and Challenges" discussion topics](https://github.com/w3c/machine-learning-workshop/issues?q=is%3Aissue+is%3Aopen+label%3A%22Opportunities+and+Challenges%22+sort%3Acomments-desc):
+
+ℹ️ WebGPU fitness for ML frameworks #66 - @jasonmayes @Kangz @grorg
+- ❓ Does WebGPU expose the right API surface to support ML frameworks interactions with GPUs?
+- ✔️ Proposal: New WebGPU extensions for subgroups, cooperative matrix multiply.
+
+ℹ️ Applicability to non-browser JS environments #62 - @jasonmayes @phoddie @huningxin @WenheLI
+- ❓ Pay attention to the applicability of the browser-targeted work to non-browser JS environments, in particular Node.js.
+- ✔️ Proposal: Extend W3C coordination to TC53 and non-browser projects.
+
+ℹ️ Protecting ML models #67 - @jasonmayes @tidoust @pyu10055 @jbingham
+- ❓ Some ML providers need to ensure their ML models cannot be extracted from a browser app.
+- ✔️ Proposal: Investigate existing access control mechanisms for video, learnings from 3D assets.
+
+ℹ️ Support for Float16 in JS & Wasm environments #64 - @cynthia @jasonmayes
+- ❓ Lack of support for float16 in JS and Wasm environments problematic for quantized models.
+- ✔️ Proposal: TBD
+
+ℹ️ In-browser training #82 and Training across devices #83 - @irealva @cynthia
+- ❓ The current in-browser efforts are focused on inference rather than training.
+- ✔️ Proposal: Understand successful real-world usages (e.g. Teachable Machine) and target transfer learning as the initial training use case for related browser API work.
+
+ℹ️ Permission model for Machine Learning APIs #72 - @cynthia @dontcallmedom @anssiko
+- ❓ How to design a forward-looking permission model for ML APIs?
+- ✔️ Proposal: TBD
 
 ## September 22, 2020, 2pm UTC [🗓️](https://www.timeanddate.com/worldclock/fixedtime.html?iso=20200922T14)