Raiden-Zhu / Generalization-of-DSGDLinks
The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"
☆35Updated 2 years ago
Alternatives and similar repositories for Generalization-of-DSGD
Users that are interested in Generalization-of-DSGD are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- Federated Bilevel Optimization☆16Updated 3 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- Federated Learning - PyTorch☆14Updated 4 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆18Updated 2 years ago
- ☆9Updated 2 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆84Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 9 months ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- ☆13Updated last year
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- ☆16Updated last year
- ☆31Updated last year
- Code repository is for "Federated Composite Optimization", to appear in ICML 2021☆12Updated 3 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- [NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.☆23Updated last year
- ☆12Updated 2 years ago
- ☆46Updated 11 months ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark☆100Updated last week
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- ☆20Updated 3 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆76Updated last year
- ☆40Updated last year
- Federated learning using a mixture of experts☆17Updated 4 years ago
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆40Updated 3 months ago
- [ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"☆47Updated last year