ChanChiChoi / awesome-Federated-LearningLinks
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
Sorting:
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆113Updated 4 years ago
- Investigating Split Learning and Federate Learning☆85Updated 5 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆117Updated last year
- ☆54Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆172Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆176Updated 4 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆300Updated 3 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- ☆174Updated 10 months ago
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆146Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆67Updated 9 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆307Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 2 years ago
- ☆32Updated 3 years ago