nizar-masmoudi / decentralized-federated-learningLinks
A decentralised federated learning simulator
☆13Updated 9 months ago
Alternatives and similar repositories for decentralized-federated-learning
Users that are interested in decentralized-federated-learning are comparing it to the libraries listed below
Sorting:
- 完全去中心化联邦学习☆29Updated last year
- NEBULA: A Platform for Decentralized Federated Learning☆66Updated this week
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆132Updated 5 years ago
- Python module for simulating gossip learning.☆40Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- ☆20Updated last year
- Implement FedAvg algorithm based on Tensorflow☆253Updated 4 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆110Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆37Updated 2 years ago
- Asynchronous Federated Learning☆47Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated last year
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 8 months ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- PyTorch Federated Learning (easy to use and extend)☆267Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆153Updated 7 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆182Updated last week
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆76Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆30Updated last year
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆606Updated last year
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.☆189Updated 3 years ago
- ☆26Updated 2 years ago