Nokia-Bell-Labs / data-centric-federated-learningLinks
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
☆14Updated last year
Alternatives and similar repositories for data-centric-federated-learning
Users that are interested in data-centric-federated-learning are comparing it to the libraries listed below
Sorting:
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 11 months ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated 2 years ago
- ☆18Updated 2 years ago
- (HotMobile'24) Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing☆17Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆56Updated 10 months ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆44Updated 2 years ago
- ☆40Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆12Updated 4 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Updated last year
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆40Updated last year
- ☆22Updated 4 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated last year
- ☆17Updated 4 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆19Updated last year
- (WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning☆14Updated 7 months ago
- ☆16Updated last year
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Updated 4 years ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Updated 2 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago