Popular GitHub Repositories for Iid

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Master Federated Learning in 2 Hours—Run It on Your PC!

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Personalized federated learning codebase for research

On the Convergence of FedAvg on Non-IID Data

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

A curated list of Federated Learning papers/articles and recent advancements.

CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"

KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy

A quantum machine learning algorithm for quantum non-IID federated learning

Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data" paper.

NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space

ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

Understanding Self-Supervised Learning in a non-IID Setting

FedCD: Improving Performance in non-IID Federated Learning