ChanChiChoi / awesome-Federated-Learning
federated-learning
☆82Updated 2 years ago
Alternatives and similar repositories for awesome-Federated-Learning:
Users that are interested in awesome-Federated-Learning are comparing it to the libraries listed below
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆115Updated 4 years ago
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- ☆53Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated 2 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- SCAFFOLD and FedAvg implementation☆60Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- ☆175Updated 6 months ago
- Investigating Split Learning and Federate Learning☆82Updated 4 years ago
- ☆93Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆149Updated 2 years ago
- Accenture Labs Federated Learning☆100Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- ☆36Updated 3 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆247Updated last year
- ☆23Updated last year
- ☆30Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago