GitHub

huhreenee/SCI-Tutorial-Federated-Few-Shot-Learning

This repository accompanies the Federated Few-Shot Learning (FFSL) tutorial: From Theory to Practice and provides code and plotting utilities to transition from a basic Federated Learning (FL) ...
InfoWorld

Spring AI tutorial: Get started with Spring AI

Learn how to configure Spring AI to interact with large language models, support user-generated prompts, and connect with a ...

Learn Complex Skills Fast with AI : 5 Step Blueprint That Works

Learn faster with a five-step AI learning framework. Use Perplexity and Notebook LM for resources, priming, and save up to 20 ...
IEEE

Advancing Federated Learning: A Systematic Literature Review of Methods, Challenges, and Applications

Abstract: Federated Learning (FL) has emerged as a cutting-edge paradigm in machine learning, showcasing remarkable advancements in recent years. This research paper delves into the dynamic landscape ...
IEEE

Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection

Abstract: In federated learning, selecting participating devices (clients) is critical due to their inherent diversity. Clients typically hold non-IID data and possess varying computational and ...
Mental Floss

60 Amazing Skills You Can Learn on YouTube

From how to French brain or play the guitar to how to unclog a sing or perform CPR, you can learn all kinds of useful skills on YouTube. We at Mental Floss are always eager to learn new things and ...
GitHub

eakasharma/PriF-IDS-Federated-Fraud-Detection

This project is a proof-of-concept (PoC). It implements a federated learning (FL) system to train a fraud detection model without ever exposing or centralizing sensitive client data. This repository ...