FedCD: Improving Performance in non-IID Federated Learning

Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"

This is a Tensorflow implementation of the paper Homogeneous Learning: Self-Attention Decentralized Deep Learning.

Just a casual project that provides a minor solution to the distributed learning of block non-i.i.d. data

Looking at optimizing the performance of Vision Transformers under a federated learning environment

A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures

Implementation of Federated Learning using the Flower Framework

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"

PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are prov…

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

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

Personalized federated learning codebase for research

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

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