TsingZ0 / HtFLlibLinks
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
☆175Updated 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☆150Updated 6 months ago
- ☆66Updated 8 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆137Updated 7 months ago
- PyTorch Federated Learning (easy to use and extend)☆262Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆154Updated 3 years ago
- ☆175Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆281Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆108Updated 2 years ago
- Releasing the source code Version1.☆161Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆90Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 9 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆118Updated last week
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆67Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆605Updated this week
- Personalized federated learning codebase for research☆389Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆167Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Implement FedAvg algorithm based on Tensorflow☆251Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆75Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 2 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆93Updated 2 weeks ago
- Code and data accompanying the FedGen paper☆252Updated 7 months ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 6 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆215Updated 4 years ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆53Updated 10 months ago