huawei-noah / Federated-LearningLinks
☆19Updated last year
Alternatives and similar repositories for Federated-Learning
Users that are interested in Federated-Learning are comparing it to the libraries listed below
Sorting:
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆20Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆27Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated last year
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Updated 10 months ago
- ☆19Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- ☆18Updated 2 years ago
- [CVPR 2023] Federated Domain Generalization with Generalization Adjustment☆46Updated 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
- Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning☆36Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated last year
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆15Updated 5 months ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆43Updated 2 years ago
- ☆20Updated 3 years ago
- Implementation of FedBary☆13Updated 2 months ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆25Updated 2 years ago
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆46Updated 2 years ago
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆35Updated 11 months ago
- [ICLR'24] Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate☆11Updated 11 months ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆22Updated last year
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆10Updated last year
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Updated last year
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Updated 3 years ago
- ☆40Updated last year
- ☆10Updated last year
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆18Updated 2 years ago