Architectures and Algorithms for Privacy-Preserving Federated Learning at Scale on Heterogeneous Edge Networks

The Federated Learning Paradigm and its Scaling Imperative 1.1. Introduction to the FL Principle: Moving Computation to the Data The traditional paradigm of machine learning has long been predicated on Read More …

The Edge Advantage: A Comprehensive Analysis of Sub-7B Small Language Models for On-Device Deployment

The Paradigm Shift to Compact AI: Defining the SLM Landscape From Brute Force to Finesse: The Evolution Beyond LLMs The trajectory of artificial intelligence over the past half-decade has been Read More …