CedricShang / federated-learning-masterLinks
☆19Updated 2 years ago
Alternatives and similar repositories for federated-learning-master
Users that are interested in federated-learning-master are comparing it to the libraries listed below
Sorting:
- PyTorch Federated Learning (easy to use and extend)☆270Updated last year
- Implement FedAvg algorithm based on Tensorflow☆255Updated 4 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 3 years ago
- Overview of Federal Learning☆293Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- ☆869Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆38Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- ☆178Updated 2 years ago
- Personalized federated learning codebase for research☆392Updated last year
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆110Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆397Updated 10 months ago
- Implementation of dp-based federated learning framework using PyTorch☆304Updated 2 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆625Updated this week
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆85Updated last year
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆607Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆154Updated 8 months ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆786Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆185Updated 3 weeks ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- ☆72Updated 10 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆138Updated 9 months ago
- An easy-to-use federated learning platform☆298Updated 2 years ago
- Galaxy Federated Learning Framework (星际联邦学习框架)☆254Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆77Updated 3 years ago
- ☆20Updated last year
- Releasing the source code Version1.☆167Updated 3 years ago