chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-LearningLinks
Releasing the source code Version1.
☆161Updated 3 years ago
Alternatives and similar repositories for SplitFed-When-Federated-Learning-Meets-Split-Learning
Users that are interested in SplitFed-When-Federated-Learning-Meets-Split-Learning are comparing it to the libraries listed below
Sorting:
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆129Updated 5 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆30Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- ☆66Updated 8 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 6 months ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- ☆30Updated 3 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☆167Updated 2 years ago
- Accenture Labs Federated Learning☆103Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 2 years ago
- ☆175Updated 2 years ago
- ☆95Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆76Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 6 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated 2 months ago
- Implement FedAvg algorithm based on Tensorflow☆251Updated 4 years ago
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- ☆77Updated 3 years ago
- A curated repository for various papers in the domain of split learning.☆54Updated 10 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 9 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆154Updated 3 years ago