LF Edge InfiniEdge AI Release 2.1 Code Lab

​Join us for a hands‑on code lab exploring the new features of LF Edge InfiniEdge AI Release 2.1. This workshop builds on Release 2.0, which introduced a serverless Model Context Protocol for edge inference, agentic data tools, improved streaming for AI agents, and a complete federated learning lifecycle, and dives into the latest innovations for 2.1.

​Agenda

• ​Welcome and Introductions

• ​Overview of InfiniEdge AI Release 2.1 – Recap the new features and improvements building on Release 2.0, Tina Tsou, TSC Chair, InfiniEdge AI, LF Edge

• ​AI Security – Discussion of best practices for securing AI models and data at the edge, including privacy‑preserving analytics and safeguarding model pipelines, Ramki Krishnan, RedHat

• ​Advancing Large Language Models in Resource‑Constrained Environments – A special presentation by Zechun Liu, Meta, core author of the latest MobileLLM‑R1, on strategies to optimize large models for resource‑limited devices

• ​Deep Dive Sessions – Demonstrations of YoMo 2.0, Edge Data Agent, SPEAR runtime enhancements, and EdgeLake federated learning, Qi Tang, Google

• ​Robotics Showcase – Humanoid and dog robots from Toborlife will be on site, offering hands‑on interaction with cutting‑edge robotics

• ​Q&A and Networking

​Participants will receive step‑by‑step guidance on building and deploying AI applications across cloud and edge using the InfiniEdge platform. Please bring your laptop and be ready to code!

​Remote participataton:

You can use this zoom link: https://zoom.us/meeting/register/OC7weqrlRwqx_1a6yiRYoA. It will ask for folks to register first.