faresmalik / FeSViBS
Source code for MICCAI 2023 paper entitled: 'FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling'
☆20Updated last year
Alternatives and similar repositories for FeSViBS:
Users that are interested in FeSViBS are comparing it to the libraries listed below
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆51Updated last year
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated last year
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Updated last year
- [Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"☆20Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- [CVPR 2023] Federated Domain Generalization with Generalization Adjustment☆45Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆87Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆52Updated 2 weeks ago
- ☆20Updated 3 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated last year
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆48Updated 2 years ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆13Updated last month
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆20Updated 8 months ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆18Updated 10 months ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆11Updated last year
- Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning☆34Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆18Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- ☆14Updated last year
- ☆18Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆27Updated 3 months ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆33Updated last year
- Official implementation of the paper "FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving G…☆15Updated last year
- Code Implementation and Informations about FedAS☆22Updated last month
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…☆103Updated last year
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆17Updated last year
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆45Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated last year