MenguChen / Federated_object_detectionLinks
Federated Learning on object detection
☆48Updated 2 years ago
Alternatives and similar repositories for Federated_object_detection
Users that are interested in Federated_object_detection are comparing it to the libraries listed below
Sorting:
- Repository of the conceptual work around Federated Learning to train the object detection model YOLOv5.☆21Updated 3 years ago
- FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles☆42Updated 6 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- Official Code for PACFL AAAI 2023☆44Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆92Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆20Updated 9 months ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Federated Learning for Object Detection in Autonomous Vehicles☆31Updated 4 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- [Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"☆21Updated last year
- ☆26Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆292Updated 3 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- An easy-to-use federated learning platform☆300Updated 2 years ago
- ☆182Updated 2 years ago
- ☆54Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Updated 3 years ago
- Similarity Guided Model Aggregation for Federated Learning☆25Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆89Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆30Updated 3 years ago
- Code Implementation and Informations about FedAS☆33Updated 10 months ago
- Code for pFedFDA: Personalized Federated Learning via Feature Distribution Adaptation (NeurIPS 2024)☆16Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Updated 3 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆31Updated 11 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago