marswhu / HFL_SurveyLinks
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
☆160Updated 10 months ago
Alternatives and similar repositories for HFL_Survey
Users that are interested in HFL_Survey are comparing it to the libraries listed below
Sorting:
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆200Updated last month
- ☆76Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆142Updated 11 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆164Updated 3 years ago
- ☆178Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆291Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆280Updated last year
- ☆27Updated 2 years ago
- ☆75Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆84Updated last year
- Accenture Labs Federated Learning☆105Updated last year
- Implement FedAvg algorithm based on Tensorflow☆260Updated 4 years ago
- Code and data accompanying the FedGen paper☆254Updated 11 months ago
- Simplified Implementation of FedPAC☆60Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆101Updated last year
- 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)☆148Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆609Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆71Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago