AdamWei-boop / Awesome-Vertical-Federated-Split-LearningLinks
A summay of existing works on vertical federated/split learning
☆15Updated 4 years ago
Alternatives and similar repositories for Awesome-Vertical-Federated-Split-Learning
Users that are interested in Awesome-Vertical-Federated-Split-Learning are comparing it to the libraries listed below
Sorting:
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆13Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 6 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- ☆40Updated 2 years ago
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆12Updated 3 years ago
- Adversarial attacks and defenses against federated learning.☆20Updated 2 years ago
- ☆18Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- Learning from history for Byzantine Robustness☆25Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- ☆54Updated 4 years ago
- ☆36Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- ☆23Updated 4 years ago
- ☆29Updated 3 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆60Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 2 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 5 years ago
- ☆31Updated 5 years ago
- ☆55Updated 2 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 6 years ago
- ☆47Updated last year
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Updated 3 years ago