FDU-INC / SplitFMLinks
☆48Updated 7 months ago
Alternatives and similar repositories for SplitFM
Users that are interested in SplitFM are comparing it to the libraries listed below
Sorting:
- Releasing the source code Version1.☆170Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆195Updated 2 weeks ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆131Updated 3 months ago
- ☆75Updated 10 months 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
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆98Updated 2 months ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 3 years ago
- Latest Advances on Federated LLM Learning☆63Updated 2 months ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆52Updated 6 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- ☆22Updated 4 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆67Updated 9 months ago
- Investigating Split Learning and Federate Learning☆85Updated 5 years ago
- Pytorch implementations of some general federated optimization methods.☆45Updated 10 months ago
- ☆12Updated 8 months ago
- A curated repository for various papers in the domain of split learning.☆54Updated last year
- Codes of PrivateKT☆13Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆92Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆157Updated 8 months ago
- ☆90Updated 8 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆69Updated 3 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 4 years ago
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆28Updated 3 years ago
- ☆65Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago