SMILELab-FL / FedLab-benchmarks
Standard federated learning implementations in FedLab and FL benchmarks.
☆155Updated last year
Alternatives and similar repositories for FedLab-benchmarks:
Users that are interested in FedLab-benchmarks are comparing it to the libraries listed below
- Code and data accompanying the FedGen paper☆251Updated 5 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆169Updated 4 years ago
- On the Convergence of FedAvg on Non-IID Data☆264Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆246Updated 4 years ago
- ☆175Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆235Updated 8 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆121Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆152Updated 3 years ago
- ☆172Updated 5 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆126Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- Accenture Labs Federated Learning☆98Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆297Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 8 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years 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☆163Updated 2 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆373Updated 5 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆106Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆212Updated 4 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆294Updated 2 years ago
- Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…☆96Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆190Updated 11 months ago
- A simulation framework for Federated Learning written in PyTorch☆206Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆146Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆63Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆129Updated 4 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆144Updated last week
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆162Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆275Updated 2 years ago