resources about federated learning and privacy in machine learning
☆546Jun 26, 2024Updated last year
Alternatives and similar repositories for awesome-federated-learning
Users that are interested in awesome-federated-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆479Aug 1, 2023Updated 2 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,011Sep 3, 2022Updated 3 years ago
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆634Apr 28, 2021Updated 4 years ago
- A curated list of resources dedicated to federated learning.☆103Mar 18, 2022Updated 4 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆730Nov 16, 2025Updated 5 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆343Dec 5, 2021Updated 4 years ago
- A PyTorch Implementation of Federated Learning☆1,515Jul 25, 2024Updated last year
- Simulate a federated setting and run differentially private federated learning.☆389Mar 7, 2025Updated last year
- Leaf: A Benchmark for Federated Settings☆900Mar 24, 2023Updated 3 years ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,434May 7, 2024Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆532Sep 17, 2025Updated 7 months ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆725Mar 24, 2023Updated 3 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,074May 30, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Fair Resource Allocation in Federated Learning (ICLR '20)☆253Dec 2, 2023Updated 2 years ago
- An open-source framework for machine learning and other computations on decentralized data.☆2,433Updated this week
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆752Mar 25, 2026Updated 3 weeks ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆183Apr 20, 2021Updated 4 years ago
- Perform data science on data that remains in someone else's server☆9,875Jul 15, 2025Updated 9 months ago
- An Industrial Grade Federated Learning Framework☆6,064Nov 19, 2024Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆311Apr 18, 2022Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆320Jan 3, 2026Updated 3 months ago
- Related material on Federated Learning☆26Apr 9, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆170Dec 14, 2017Updated 8 years ago
- Galaxy Federated Learning Framework （星际联邦学习框架）☆252Jan 14, 2023Updated 3 years ago
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,034Oct 28, 2025Updated 5 months ago
- Privacy Preserving Vertical Federated Learning☆223Jun 1, 2023Updated 2 years ago
- A curated list of resources for privacy-preserving machine learning☆148Oct 19, 2021Updated 4 years ago
- An Open Framework for Federated Learning.☆836Feb 21, 2026Updated last month
- Code and data accompanying the FedGen paper☆261Oct 31, 2024Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆145May 29, 2019Updated 6 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆229Oct 21, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- FedMD: Heterogenous Federated Learning via Model Distillation☆165Jun 3, 2021Updated 4 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆274Nov 13, 2025Updated 5 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆315Jul 25, 2024Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Jul 25, 2024Updated last year
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆413Dec 18, 2023Updated 2 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆13May 31, 2021Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆616Feb 26, 2024Updated 2 years ago