ZexiLee / ICML-2023-FedLAWLinks
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
☆57Updated last year
Alternatives and similar repositories for ICML-2023-FedLAW
Users that are interested in ICML-2023-FedLAW are comparing it to the libraries listed below
Sorting:
- Simplified Implementation of FedPAC☆59Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆54Updated 7 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆87Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- ☆52Updated 3 years ago
- ☆34Updated 3 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 9 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆158Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)