Kthyeon / ssfod
[Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"
☆20Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for ssfod
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆35Updated 9 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆38Updated last year
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆97Updated last year
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆21Updated 7 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated last year
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆14Updated 5 months ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆32Updated last year
- Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving☆39Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆25Updated 6 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆35Updated 2 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆40Updated last year
- Simplified Implementation of FedPAC☆48Updated 11 months ago
- Official Code for PACFL AAAI 2023☆37Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆35Updated 2 months ago
- Federated Learning on object detection☆43Updated last year
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆24Updated 4 months ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆91Updated last year
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆22Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆34Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆51Updated 2 years ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆5Updated last year
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆90Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆30Updated 7 months ago
- ☆27Updated 6 months ago
- Repository of the conceptual work around Federated Learning to train the object detection model YOLOv5.☆18Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆110Updated 6 months ago
- ☆41Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆27Updated last year
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆17Updated last year