FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
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Updated
Sep 3, 2022
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Personalized federated learning codebase for research
A curated list of Federated Learning papers/articles and recent advancements.
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized 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…
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"
A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
Implementation of Federated Learning using the Flower Framework
FedCD: Improving Performance in non-IID Federated Learning
Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"
Federated Learning for Sentiment Analysis
Just a casual project that provides a minor solution to the distributed learning of block non-i.i.d. data
This is a Tensorflow implementation of the paper Homogeneous Learning: Self-Attention Decentralized Deep Learning.
Membership Inference Attacks on Imbalanced Federated Learning setups
Looking at optimizing the performance of Vision Transformers under a federated learning environment
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