Sungwon-Han / FEDX
☆67Updated 2 years ago
Related projects: ⓘ
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆33Updated last year
- ☆12Updated last year
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆78Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆51Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆72Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆76Updated 7 months ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆52Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆41Updated last year
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated 6 months ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆27Updated 2 months ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆39Updated 3 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated last year
- Federated Learning with Partial Model Personalization☆40Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆36Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆39Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆26Updated last year
- ☆41Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆18Updated 2 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆24Updated 6 months ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆60Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆29Updated 3 weeks ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆83Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆77Updated 2 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆97Updated 3 years ago
- Papers related to federated learning in top conferences (2020-2024).☆65Updated 2 months ago
- Simplified Implementation of FedPAC☆48Updated 9 months ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year