Reading List of recent published Federated Learning & Knowledge Distillation papers
Reading Priority: Top: 🌟 Second ⭐
- 🌟Federated Knowledge Distillation (Not published yet)[paper]
- 🌟Communication-Efficient Federated Distillation [paper]
- ⭐Split learning for health: Distributed deep learning without sharing raw patient data [paper]
- ⭐Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge [paper]
- 🌟Survey of personalization techniques for federated learning[paper]
- ⭐Advances and Open Problems in Federated Learning[paper]
- ⭐Federated Machine Learning: Concept and Applications [paper]
- From Federated Learning to Federated Neural Architecture Search: A Survey [paper]
- A survey on security and privacy of federated learning [paper]
- Federated Learning: Challenges, Methods, and Future Directions[paper]
- [IEEE Communications Surveys & Tutorials 2019] Federated learning in mobile edge networks: A comprehensive survey [paper]
- [IEEE, 2020] Federated learning: A survey on enabling technologies, protocols, and applications [paper]
- ⭐Federated model distillation with noise-free differential privacy[paper]
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning[paper]
- ⭐FedMD: Heterogenous Federated Learning via Model Distillation[paper][code]
- Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring[paper]
- ⭐Federated Mutual Learning[paper]
- Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework [paper]
- Wireless federated distillation for distributed edge learning with heterogeneous data[paper]
- Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data[paper]
- Performance Optimization for Federated Person Re-identification via Benchmark Analysis[paper] [KD as optimization tool section 5]
- KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation[paper]
- Real-Time Decentralized knowledge Transfer at the Edge[paper]
- ⭐FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction[paper]
- ⭐Ensemble distillation for robust model fusion in federated learning[paper]
- ⭐Improving question answering by commonsense-based pre-training [paper]
- ⭐Collaborative fairness in federated learning[paper]
- CovidNLP: a web application for distilling systemic implications of COVID-19 pandemic with Natural Language processing[paper]
- Federated learning for healthcare informatics [paper]
- Sentiment detection with FedMD: Federated Learning via Model Distillation[paper]
FL Applications:
- A review of applications in federated learning[paper]