TouchSky-Lab / Awesome-Data-Free-Knowledge-Distillation
Data-Free Knowledge Distillation
☆20Updated 2 years ago
Alternatives and similar repositories for Awesome-Data-Free-Knowledge-Distillation:
Users that are interested in Awesome-Data-Free-Knowledge-Distillation are comparing it to the libraries listed below
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆21Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆28Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆69Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8☆27Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated last year
- ☆10Updated last year
- Official repo for the WACV 2023 paper: Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.☆29Updated last year
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆30Updated 2 years ago
- ☆86Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆51Updated 3 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year
- Query-Efficient Data-Free Learning from Black-Box Models☆22Updated 2 years ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆30Updated last year
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated 2 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint☆17Updated last year
- [Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetti…☆14Updated 9 months ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆110Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆42Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated 2 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆18Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆57Updated 2 years ago
- ☆28Updated last year
- ☆49Updated 2 years ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆28Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago