WHDY / FedAvg
Implement FedAvg algorithm based on Tensorflow
☆238Updated 4 years ago
Alternatives and similar repositories for FedAvg:
Users that are interested in FedAvg are comparing it to the libraries listed below
- On the Convergence of FedAvg on Non-IID Data☆257Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆163Updated 3 years ago
- ☆173Updated last year
- PyTorch Federated Learning (easy to use and extend)☆237Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆102Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆76Updated 6 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆366Updated 3 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆142Updated last month
- A simulation framework for Federated Learning written in PyTorch☆204Updated 2 years ago
- Releasing the source code Version1.☆141Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆128Updated last month
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆576Updated 11 months ago
- 联邦学习模块化框架,支持各类FL。A universal federated learning framework, free to switch thread and process modes☆160Updated 3 weeks ago
- Implementation of dp-based federated learning framework using PyTorch☆292Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆150Updated 3 years ago
- ☆191Updated 6 months ago
- Accenture Labs Federated Learning☆96Updated 11 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆208Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆117Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 9 months ago
- Code and data accompanying the FedGen paper☆249Updated 3 months ago
- ☆54Updated 3 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆59Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆117Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 6 months ago
- Paper notes and code for differentially private machine learning☆342Updated 2 months ago