guobbin / PFL-MoELinks
Federated Learning - PyTorch
☆14Updated 3 years ago
Alternatives and similar repositories for PFL-MoE
Users that are interested in PFL-MoE are comparing it to the libraries listed below
Sorting:
- Diverse Client Selection for Federated Learning via Submodular Maximization☆31Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- Simplified Implementation of FedPAC☆59Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 8 months ago
- ☆40Updated last year
- ☆29Updated 2 years ago
- Federated learning using a mixture of experts☆17Updated 4 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆85Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆40Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- ☆34Updated 3 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆59Updated 2 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆44Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- Code for ScaleFL☆30Updated 2 years ago
- ☆31Updated last year
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated 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
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 5 months ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- ☆22Updated 4 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆61Updated 3 months ago