anantsh-dev / Federated-Learning
Implementation of a Federated Learning based CNN model
☆14Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Federated-Learning
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated 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☆34Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆23Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆57Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆38Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆21Updated 3 years ago
- Asynchronous Federated Learning☆17Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆55Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆17Updated 3 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆41Updated 2 years ago
- fully ready experiments☆34Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆71Updated 4 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 5 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆116Updated last year
- ☆30Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆56Updated 10 months ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆17Updated last year
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆20Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆33Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆34Updated last year
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆31Updated 3 years ago
- Contains codes for my published tutorials☆30Updated last year
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆32Updated 2 years ago
- ☆52Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 4 months ago