jsmjie / FedBaseLinks
An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.
☆17Updated 2 years ago
Alternatives and similar repositories for FedBase
Users that are interested in FedBase are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆55Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆79Updated 5 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175Updated 3 years ago
- fully ready experiments☆38Updated 3 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆60Updated 2 years ago
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆57Updated 3 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- IJCAI-Personalized Federated Learning with Graph☆57Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆78Updated 2 years ago
- This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).☆86Updated 4 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆197Updated 2 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆116Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆19Updated 3 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆32Updated 3 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Four Federated learning datasets for Human Activity Recognition☆57Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- ☆164Updated 3 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆42Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆77Updated 3 weeks ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆42Updated 2 years ago