TsingZ0 / HtFLlibLinks
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
☆187Updated 2 weeks ago
Alternatives and similar repositories for HtFLlib
Users that are interested in HtFLlib are comparing it to the libraries listed below
Sorting:
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆156Updated 8 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆141Updated 10 months ago
- ☆72Updated 10 months 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
- Model-Contrastive Federated Learning (CVPR 2021)☆290Updated 3 years ago
- ☆177Updated 2 years ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆129Updated 3 months ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆630Updated last week
- Pytorch implementations of some general federated optimization methods.☆44Updated 10 months ago
- Personalized federated learning codebase for research☆394Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- Code and data accompanying the FedGen paper☆251Updated 10 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆609Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆111Updated 3 years ago
- Accenture Labs Federated Learning☆104Updated last year
- ☆26Updated 2 years ago
- ☆76Updated 4 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☆172Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆256Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆67Updated 9 months ago
- An easy-to-use federated learning platform☆298Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆27Updated 10 months ago
- Federated Learning in CVPR2024☆18Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago