MMorafah / Awesome-Federated-Learning-Pruning
Every work on Federated Learning Pruning
☆17Updated 2 years ago
Alternatives and similar repositories for Awesome-Federated-Learning-Pruning:
Users that are interested in Awesome-Federated-Learning-Pruning 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".☆82Updated 2 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆41Updated 3 years ago
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 6 months ago
- Pytorch implementations of some general federated optimization methods.☆37Updated 4 months ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆25Updated 2 years ago
- Code for ScaleFL☆30Updated last year
- ☆23Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆76Updated 2 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆28Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆84Updated 2 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆14Updated last year
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated last year
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆41Updated 2 years ago
- ☆54Updated 3 years ago
- ☆72Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆151Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- demo☆20Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 4 years ago
- FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms☆17Updated this week
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆46Updated last year
- A curated repository for various papers in the domain of split learning.☆46Updated 6 months ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 4 months ago
- fully ready experiments☆36Updated 2 years ago
- ☆9Updated 3 years ago
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 4 months ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago