NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
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Updated
May 29, 2024 - Python
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
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Track Federated Learning Papers
Flower: A Friendly Federated Learning Framework
The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.
Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning".
Official implementation of our work "Collaborative Fairness in Federated Learning."
Nerlnet is a distributed machine learning platform for experiments and IoT deployment.
Decentralized & federated privacy-preserving ML training, using p2p networking, in JS
Perform data science on data that remains in someone else's server
Federated learning framework made by researchers for researchers :)
A simple tool to perform Federated Learning on various models and datasets.
联邦学习模块化框架,支持各类FL。A universal federated learning framework, free to switch thread and process modes
机器学习和差分隐私的论文笔记和代码仓
Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台,支持多方安全计算、联邦学习、隐私求交、匿踪查询等。
An Git-like version control file system for data lineage & data collaboration.
SecuraX: A digital platform unleashing AI for smarter Policing with Privacy Baked In 🔒
An experimental platform for federated learning.
Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks".
AI/ ML papers in DBLP/ arXiv
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