hukla / FedClassAvg
☆15Updated 2 years ago
Related projects: ⓘ
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- ☆24Updated this week
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆18Updated 2 years ago
- ☆12Updated this week
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆26Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆36Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆51Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆18Updated 2 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆41Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆39Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆33Updated last year
- ☆26Updated 8 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆29Updated 3 weeks ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆22Updated last year
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆23Updated 9 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆24Updated 6 months ago
- ☆25Updated last year
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆32Updated last week
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆12Updated 11 months ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆23Updated 4 months ago
- ☆17Updated 3 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆29Updated last year
- ☆41Updated 2 years ago
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆15Updated last year
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning☆27Updated 5 months ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆11Updated last year
- Personalized Federated Learning under Mixture of Distributions☆15Updated 8 months ago