We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
-
Updated
May 24, 2024 - Python
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
This is a Tensorflow implementation of the paper Homogeneous Learning: Self-Attention Decentralized Deep Learning.
Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"
This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
Personalized federated learning codebase for research
Looking at optimizing the performance of Vision Transformers under a federated learning environment
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.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
A curated list of Federated Learning papers/articles and recent advancements.
Just a casual project that provides a minor solution to the distributed learning of block non-i.i.d. data
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
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…
Implementation of Federated Learning using the Flower Framework
FedCD: Improving Performance in non-IID Federated Learning
Add a description, image, and links to the non-iid topic page so that developers can more easily learn about it.
To associate your repository with the non-iid topic, visit your repo's landing page and select "manage topics."