This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.
☆33Apr 22, 2021Updated 4 years ago
Alternatives and similar repositories for FedAvg
Users that are interested in FedAvg are comparing it to the libraries listed below
Sorting:
- Code for publication on FL incentive mechanism design☆11Sep 12, 2024Updated last year
- 此项目为论文《FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism》的验证项目。基于 intel SGX ，实现将各个不同模型的推测结果在可信硬件中使用 truth…☆18Oct 23, 2023Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆91Jul 25, 2024Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆27Nov 6, 2024Updated last year
- ☆12Sep 5, 2018Updated 7 years ago
- ☆75Oct 30, 2020Updated 5 years ago
- Multimodal Federated Learning on IoT Data☆11Dec 17, 2023Updated 2 years ago
- This is the dataset for the competition "Clinical Brain Computer Interfaces Challenge" to be held at WCCI 2020 at Glasgow. There are the …☆10Jan 20, 2022Updated 4 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆41Jul 28, 2022Updated 3 years ago
- Results of my master thesis. Conditional invertible neural networks in the freia framework were used to dertermine the CO2 concentration …☆10Jan 12, 2020Updated 6 years ago
- Code for "A Local Machine Learning Approach for Fingerprint based Indoor Localization Code"☆11Mar 20, 2023Updated 2 years ago
- Simple Python Socket-based Split Learning technique using PyTorch☆13Mar 13, 2020Updated 5 years ago
- Traffic Scheduling for Time Sensitive Networks☆10Sep 5, 2024Updated last year
- Understanding and improvement of artificial bee colony algorithm and C / Java / Python code reproduction.对人工蜂群算法的理解和改进思路以及C/Java/Python代码…☆15Feb 14, 2021Updated 5 years ago
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆11Aug 19, 2022Updated 3 years ago
- ☆11Jan 18, 2021Updated 5 years ago
- Sequence-based protein solubility predictor☆11Apr 1, 2020Updated 5 years ago
- Contribution Measurement Experiment for Federated Learning☆10Jul 20, 2022Updated 3 years ago
- [Study] deepJSCC☆12Jul 17, 2023Updated 2 years ago
- ☆11Aug 15, 2021Updated 4 years ago
- DeepSoluE☆14Sep 18, 2023Updated 2 years ago
- Python code for the paper "A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network".☆10Feb 27, 2025Updated last year
- ESP32 BLE - UART☆10May 6, 2020Updated 5 years ago
- Decentralized federated machine learning using peer-to-peer networks☆12Apr 11, 2023Updated 2 years ago
- ☆12Aug 19, 2022Updated 3 years ago
- MIViT is accepted by TCSVT☆12Apr 2, 2024Updated last year
- CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks☆10Feb 20, 2024Updated 2 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Dec 3, 2023Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Jun 28, 2022Updated 3 years ago
- [TMI' 23] FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting☆14Mar 11, 2023Updated 2 years ago
- ☆10Jan 31, 2022Updated 4 years ago
- This paper is currently under review by IEEE TCSVT, and the diffusion framework of the FedDiff algorithm part will be disclosed.☆14Mar 8, 2024Updated 2 years ago
- Python script for QPSK modulation and demodulation☆12May 27, 2020Updated 5 years ago
- ☆11Dec 18, 2023Updated 2 years ago
- Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021☆10Sep 12, 2021Updated 4 years ago
- Speech recognition with federated learning☆11Jan 9, 2020Updated 6 years ago
- [ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement☆10Mar 25, 2024Updated last year
- Code for "Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning", IEEE Transactions on Computers☆13May 9, 2024Updated last year
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago