Deepthi-Jallepalli / CMPE-295A-Master-ProjectLinks
Federated Learning for Object Detection in Autonomous Vehicles
☆31Updated 4 years ago
Alternatives and similar repositories for CMPE-295A-Master-Project
Users that are interested in CMPE-295A-Master-Project are comparing it to the libraries listed below
Sorting:
- FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles☆40Updated 3 months ago
- Federated Learning on object detection☆47Updated 2 years ago
- Repository of the conceptual work around Federated Learning to train the object detection model YOLOv5.☆21Updated 3 years ago
- [Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"☆21Updated last year
- Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving☆39Updated last year
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)☆55Updated last year
- ☆26Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆138Updated 9 months ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆91Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆37Updated 2 years ago
- Official Code for PACFL AAAI 2023☆43Updated 2 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆37Updated 2 years ago
- Deep Federated Learning for Autonomous Driving (IV'22)☆37Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆287Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- An easy-to-use federated learning platform☆298Updated 2 years ago
- ☆177Updated 2 years ago
- LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework☆46Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆186Updated 3 weeks ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆86Updated last year
- PyTorch Federated Learning (easy to use and extend)☆272Updated last year
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆30Updated last year
- Asynchronous Federated Learning☆47Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆110Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 8 months ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago