imguangyu / FedPerfix
Official repository for FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning (ICCV2023)
☆16Updated last year
Alternatives and similar repositories for FedPerfix:
Users that are interested in FedPerfix are comparing it to the libraries listed below
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆14Updated 2 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆101Updated 3 months ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆53Updated last year
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆35Updated 2 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- ☆29Updated 11 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- ☆47Updated 3 months ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆17Updated 10 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆55Updated last month
- Federated Learning in CVPR2024☆17Updated 10 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 3 months ago
- Code Implementation and Informations about FedAS☆22Updated 2 months ago
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆18Updated last year
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆106Updated 4 months ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆7Updated last year
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆103Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆88Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 3 years ago
- ☆31Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆36Updated last year
- TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark☆94Updated 4 months ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆42Updated 2 years ago
- GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting☆15Updated 2 years ago
- ☆48Updated 2 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆26Updated last year