visitworld123 / Twin-sightLinks
[ICLR 2024] "Robust Training of Federated Models with Extremely Label Deficiency"
☆26Updated 3 months ago
Alternatives and similar repositories for Twin-sight
Users that are interested in Twin-sight are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆111Updated last month
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆110Updated 8 months ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆21Updated last year
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆24Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆58Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆46Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆29Updated 8 months ago
- A federated image segmentation method based on style transfer☆16Updated 11 months ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆16Updated 6 months ago
- ☆15Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- ☆28Updated 2 years ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆11Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆62Updated 5 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆56Updated 8 months ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- ☆15Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- ☆33Updated last year
- Official Implementation of paper "Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast"☆12Updated 10 months ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆108Updated last year
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Updated 3 years ago
- ☆10Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆107Updated 8 months ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆13Updated 3 weeks ago
- (CVPR 2024) FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning☆20Updated last year