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FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
non-iid
privacy
computer-vision
interpretability
machine-learning
straggler-problem
transfer-learning
continual-learning
federated-learning
incentive-mechanism
computation-efficiency
wireless-communication
communication-efficiency
distributed-optimization
semi-supervised-learning
neural-architecture-search
vertical-federated-learning
adversarial-attack-and-defense
hierarchical-federated-learning
decentralized-federated-learning
Created
2020-07-03
124 commits to master branch, last one 2 years ago
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
Created
2020-09-02
509 commits to master branch, last one 10 days ago
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Created
2019-11-10
86 commits to master branch, last one about a month ago
Personalized federated learning codebase for research
Created
2022-05-05
41 commits to main branch, last one about a year ago
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Created
2022-11-22
31 commits to main branch, last one 10 days ago
A curated list of Federated Learning papers/articles and recent advancements.
non-iid
awesome-list
data-privacy
deep-learning
healthcare-data
machine-learning
life-science-data
federated-learning
healthcare-imaging
healthcare-datasets
medical-data-pipeline
artifical-intelligense
awesome-machine-learning
deep-learning-healthcare
machine-learning-privacy
machine-learning-healthcare
vertical-federated-learning
distributed-machine-learning
healthcare-federated-learning
blockchain-medical-applications
Created
2020-12-16
24 commits to main branch, last one about a year ago
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arb...
Created
2022-01-05
204 commits to master branch, last one 2 years ago
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 federa...
Created
2022-02-18
10 commits to main branch, last one about a year ago