chandra2thapa / SplitFed-When-Federated-Learning-Meets-Split-Learning
Releasing the source code Version1.
☆139Updated 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
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆76Updated 6 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆162Updated 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☆157Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆82Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 5 months ago
- ☆31Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆75Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆102Updated 2 years ago
- ☆53Updated 3 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆117Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆117Updated 4 years ago
- Accenture Labs Federated Learning☆96Updated 10 months ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆25Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆67Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆60Updated last month
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 8 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆150Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆109Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- fully ready experiments☆35Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆67Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆135Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆69Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆237Updated 4 years ago