yiliucs / Federated-Learning-for-Traffic-Sign-RecognitionLinks
In this project, we build a simple federated deep learning model (i.e., LeNet model) that classifies 62 differents Belgian Traffic Signs.
☆14Updated 4 years ago
Alternatives and similar repositories for Federated-Learning-for-Traffic-Sign-Recognition
Users that are interested in Federated-Learning-for-Traffic-Sign-Recognition are comparing it to the libraries listed below
Sorting:
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 8 months ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- Accenture Labs Federated Learning☆104Updated last year
- ☆32Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆67Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆111Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 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☆172Updated 2 years ago
- ☆96Updated 3 years ago
- ☆54Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 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
- Python module for simulating gossip learning.☆40Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆135Updated 5 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- Federated learning client selection☆19Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- Federated learning via stochastic gradient descent☆33Updated 4 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆146Updated 6 months ago
- Official Code for PACFL AAAI 2023☆43Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 3 years ago