[ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such…

A Langchain app that allows you to chat with multiple PDFs

Semi-Asynchronous Federated Averaging (SAFA)

Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower

FedEasy is an intuitive powerful yet simple to use Federated Learning framework. Our goal is to streamline the process of setting up and running federated learning experiments with ease, making adv…

Material workbench for the master-level course CS-E4740 "Federated Learning"

PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).

A demo of a new federated learning Python framework called flower for purposes of a live demo.

An open-source framework for machine learning and other computations on decentralized data.

Introduction to Deep Neural Networks with Keras and Tensorflow

Official Repo for the 30DaysOfFLCode Challenge Initiative

Simple, unified interface to multiple Generative AI providers

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Federated Learning and Smartwatch Data Analysis

Flower: A Friendly Federated AI Framework

PyTorch Tutorials from my YouTube channel

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).

SUMO and Reinforcement Learning