yusx-swapp / SPATL
SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SPATL
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆16Updated 5 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆14Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆20Updated 2 years ago
- Federated learning with model quantization☆14Updated 2 years ago
- This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Fede…☆12Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 3 years ago
- ☆28Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆28Updated 2 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆25Updated last year
- ☆22Updated 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆20Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆34Updated last year
- Simplified Implementation of FedPAC☆48Updated 11 months ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆53Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆49Updated last year
- Paper: Vertical Federated Knowledge Transfer via Representation Distillation☆13Updated last year
- ☆55Updated 3 years ago
- ☆31Updated 2 years ago
- ☆23Updated 3 years ago
- ☆15Updated 8 months ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆20Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- ☆27Updated last year
- ☆28Updated last year
- ☆40Updated last year