My github page
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Jun 3, 2024 - Jupyter Notebook
My github page
Material workbench for the master-level course CS-E4740 "Federated Learning"
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
Perform data science on data that remains in someone else's server
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
Track Federated Learning Papers
P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.
Federated data Preprocessing via aggregated Statistics
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
HeFlwr: Federated Learning for Heterogeneous Devices
Flower: A Friendly Federated Learning Framework
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 any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Federated learning framework made by researchers for researchers :)
Simulation framework for accelerating research in Private Federated Learning
Federated data managment insights with Plotly Dash, Vantage6, and a GraphDB triplestore
This repository contains the hub packages & services of FLAME.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
Decentralized & federated privacy-preserving ML training, using p2p networking, in JS
Implemented the FedAvg Algorithm in Federated Learning. Completed its uncertainty estimation and confidence calibration.
AI/ ML papers in DBLP/ arXiv
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