Statistics for topic federated-learning
RepositoryStats tracks 584,796 Github repositories, of these 202 are tagged with the federated-learning topic. The most common primary language for repositories using this topic is Python (133). Other languages include: Jupyter Notebook (20)
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Perform data science on data that remains in someone else's server
A Git-like Version Control File System for Datasets Management in the Era of AI.
A Git-like Version Control File System for Datasets Management in the Era of AI.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
Perform data science on data that remains in someone else's server
✨✨A curated list of latest advances on Foundation Models with Federated Learning
A Git-like Version Control File System for Datasets Management in the Era of AI.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
✨✨A curated list of latest advances on Foundation Models with Federated Learning
A Git-like Version Control File System for Datasets Management in the Era of AI.
FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)
P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on...
Simulation framework for accelerating research in Private Federated Learning
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
✨✨A curated list of latest advances on Foundation Models with Federated Learning
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on a...
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Federated learning framework made by researchers for researchers :)
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
Material workbench for the master-level course CS-E4740 "Federated Learning"
P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on...