REIYANG / FedBCD
Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models", accepted by AAAI Conference on Artificial Intelligence 2021.
☆15Updated 4 years ago
Alternatives and similar repositories for FedBCD:
Users that are interested in FedBCD are comparing it to the libraries listed below
- ☆16Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).☆17Updated 4 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- ☆23Updated 3 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- ☆40Updated last year
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆20Updated 3 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆10Updated 4 years ago
- ☆26Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- ☆36Updated 3 years ago
- ☆28Updated 4 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆12Updated 3 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆22Updated 2 years ago
- ☆26Updated 4 years ago
- Asynchronous Federated Learning☆18Updated 3 years ago
- ☆23Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆26Updated 2 months ago
- ☆54Updated 3 years ago
- ☆28Updated 2 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆21Updated 2 years ago
- Gradient-Leakage Resilient Federated Learning☆13Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 2 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 5 years ago