siddharthdivi / Unifying-Distillation-with-Personalization-in-Federated-LearningLinks
Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.
☆12Updated 4 years ago
Alternatives and similar repositories for Unifying-Distillation-with-Personalization-in-Federated-Learning
Users that are interested in Unifying-Distillation-with-Personalization-in-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- ☆40Updated last year
- ☆29Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆58Updated 2 years ago
- ☆30Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 5 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 10 months ago
- ☆22Updated 4 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆26Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- ☆54Updated 4 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 6 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Federated Dynamic Sparse Training☆31Updated 3 years ago
- ☆30Updated 5 years ago
- ☆22Updated 4 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- A summay of existing works on vertical federated/split learning☆15Updated 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆24Updated 3 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- ☆52Updated 3 years ago
- Privacy attacks on Split Learning☆42Updated 3 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆19Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated last year
- Code for Personalized Federated Learning with Gaussian Processes☆34Updated 3 years ago