weimingwill / EasyFLLinks
An easy-to-use federated learning platform
☆298Updated 2 years ago
Alternatives and similar repositories for EasyFL
Users that are interested in EasyFL are comparing it to the libraries listed below
Sorting:
- Personalized federated learning codebase for research☆394Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years ago
- ☆177Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 10 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆141Updated 10 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆609Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆156Updated 8 months ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- ☆174Updated 10 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆218Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆300Updated 3 years ago
- Overview of Federal Learning☆293Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆307Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆146Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆159Updated 3 years ago
- PyTorch Federated Learning (easy to use and extend)☆273Updated last year
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆260Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆187Updated 2 weeks ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆399Updated 10 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆111Updated 3 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆190Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago