huangtiansheng / fedslr
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for fedslr
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆10Updated 11 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆28Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆12Updated 10 months ago
- ☆8Updated 3 years ago
- Federated Learning - PyTorch☆15Updated 3 years ago
- Simplified Implementation of FedPAC☆48Updated 11 months ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆25Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆36Updated this week
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆16Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆24Updated last year
- Code for ScaleFL☆29Updated last year
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆13Updated last year
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆13Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆40Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆34Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆25Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆66Updated 3 weeks ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated 8 months ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆25Updated this week
- ☆26Updated 10 months ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆17Updated 6 months ago
- ☆58Updated last year
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆17Updated this week
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆22Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆49Updated last year
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆38Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year