MMorafah / Sub-FedAvgLinks
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
☆43Updated 3 years ago
Alternatives and similar repositories for Sub-FedAvg
Users that are interested in Sub-FedAvg are comparing it to the libraries listed below
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆92Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- ☆96Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆158Updated 4 years ago
- Releasing the source code Version1.☆167Updated 3 years ago
- ☆31Updated 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
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 8 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
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- [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 Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Federated Dynamic Sparse Training☆31Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆49Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- fully ready experiments☆38Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- Accenture Labs Federated Learning☆104Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆17Updated 3 years ago
- ☆77Updated 3 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 9 months ago