ZJU-DAI / Federated-Mutual-LearningLinks
☆29Updated 4 years ago
Alternatives and similar repositories for Federated-Mutual-Learning
Users that are interested in Federated-Mutual-Learning are comparing it to the libraries listed below
Sorting:
- ☆75Updated 5 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆165Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆150Updated 3 years ago
- Code and data accompanying the FedGen paper☆254Updated last year
- ☆182Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆88Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆223Updated 5 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆53Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆179Updated 4 years ago
- ☆80Updated 3 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years ago
- Accenture Labs Federated Learning☆105Updated last year
- ☆35Updated 4 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- ☆161Updated 2 years ago
- ☆51Updated 10 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- fully ready experiments☆39Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- ☆26Updated 2 years ago
- ☆21Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆77Updated 5 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆87Updated 3 years ago