zshuai8 / FedGMM_ICML2023
Personalized Federated Learning under Mixture of Distributions
☆18Updated last year
Alternatives and similar repositories for FedGMM_ICML2023:
Users that are interested in FedGMM_ICML2023 are comparing it to the libraries listed below
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated 11 months ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆18Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- ☆33Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆40Updated 2 years ago
- ☆18Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆12Updated 8 months ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆28Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆36Updated last year
- ☆27Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆40Updated 2 years ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Updated 3 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆26Updated 2 months ago
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆47Updated 2 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆15Updated 8 months ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆15Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- ☆15Updated last year
- ☆10Updated 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】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆45Updated last year
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 2 years ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆6Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated 11 months ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆20Updated 7 months ago