ubc-tea / SGPTLinks
The official implantation of SGPT (CVPR2024)
☆15Updated last year
Alternatives and similar repositories for SGPT
Users that are interested in SGPT are comparing it to the libraries listed below
Sorting:
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆46Updated last year
- ☆15Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆58Updated last year
- ☆15Updated last year
- (CVPR 2024) FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning☆20Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆21Updated last year
- ☆113Updated 2 years ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆38Updated 2 years ago
- ☆28Updated 2 years ago
- This is the repo for paper☆24Updated 2 months ago
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆13Updated 3 weeks ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆73Updated last year
- ☆33Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆110Updated 8 months ago
- Simplified Implementation of FedPAC☆60Updated last year
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆16Updated 6 months ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆107Updated 8 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆58Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆55Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- ☆11Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆55Updated 8 months ago
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Updated 3 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- [ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate☆11Updated 2 months ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆108Updated last year
- ☆12Updated 10 months ago