SMILELab-FL / FedLab-benchmarksLinks
Standard federated learning implementations in FedLab and FL benchmarks.
☆153Updated last year
Alternatives and similar repositories for FedLab-benchmarks
Users that are interested in FedLab-benchmarks are comparing it to the libraries listed below
Sorting:
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- ☆178Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆269Updated 2 years ago
- Code and data accompanying the FedGen paper☆254Updated 11 months ago
- Implement FedAvg algorithm based on Tensorflow☆260Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- Accenture Labs Federated Learning☆105Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆148Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆310Updated 2 years ago
- ☆174Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆609Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 6 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆303Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆174Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆222Updated 5 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☆174Updated 4 months ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆51Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months ago
- 📦 Collect some Asynchronous Federated Learning papers.☆117Updated last year
- Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…☆94Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆407Updated last year
- Tutorials and paper lists for federated learning☆67Updated last week
- ☆79Updated 3 years ago