UbiquitousLearning / FeS
Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for FeS
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆12Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆39Updated last week
- ☆22Updated 5 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆32Updated last year
- ☆20Updated 7 months ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆49Updated 2 months ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆40Updated 2 years ago
- Enhancing Efficiency in Multidevice Federated Learning through Data Selection☆12Updated 7 months ago
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆27Updated this week
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆20Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆47Updated last year
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated last year
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆19Updated 4 months ago
- ☆17Updated last year
- Official codes for ACM CIKM '22 full paper: Towards Federated Learning against Noisy Labels via Local Self-Regularization☆48Updated 7 months ago
- Code for 'Robust Federated Learning with Noisy Labels'☆13Updated 3 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated last year
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆25Updated last week
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- A Comprehensive and Versatile Open-Source Federated Learning Framework☆31Updated last year
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆10Updated last week
- ☆18Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆81Updated 9 months ago