MMorafah / Sub-FedAvg
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
☆42Updated 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
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆85Updated 2 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago
- ☆30Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆42Updated 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
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- Every work on Federated Learning Pruning☆17Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- fully ready experiments☆37Updated 2 years ago
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆39Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- SCAFFOLD and FedAvg implementation☆60Updated 3 years ago
- Releasing the source code Version1.☆153Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆70Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 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,…☆61Updated 7 months ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆16Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆114Updated 4 years ago
- ☆77Updated 3 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆16Updated last year
- ☆23Updated last year