zhongjian-zhang / FederalLearningLinks
通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from Non-IID Data两篇论文，复现FedAvg与STC算法，完成LSTM模型+ Shakespeare数据集的字符预测任务
☆38Updated 3 years ago
Alternatives and similar repositories for FederalLearning
Users that are interested in FederalLearning are comparing it to the libraries listed below
Sorting:
- Implement FedAvg algorithm based on Tensorflow☆255Updated 4 years ago
- PyTorch Federated Learning (easy to use and extend)☆270Updated last year
- 完全去中心化联邦学习☆29Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆85Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社 区检测（community detection）来进…☆66Updated 2 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- 联邦学习分布式训练MNist数据集☆59Updated 6 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- ☆178Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Asynchronous Federated Learning☆47Updated 2 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题☆36Updated 3 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆37Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated 10 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 8 months ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- ☆31Updated 3 years ago
- Accenture Labs Federated Learning☆104Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆110Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆49Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆135Updated 5 years ago