Edge Computing&Networking

CM1: Introduction - Edge computing, networking needs, computational requirements, etc, applications and introduction to Edge AI

CM2: Fundamentals of ML - Deep Learning and parallel training

CM3: Federated Learning I — Network Modelling and Problem Formulation

CM4: Federated Learning II — Distributed Learning Algorithms

CM5: TinyML

TP1: FL application

TP2: TinyML application