TouchSky-Lab / Awesome-Data-Free-Knowledge-DistillationLinks
Data-Free Knowledge Distillation
☆22Updated 3 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
Sorting:
- Official Repository for ResSFL (accepted by CVPR '22)☆24Updated 3 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- Query-Efficient Data-Free Learning from Black-Box Models☆22Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆32Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆74Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆59Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆37Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 3 years ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆29Updated last year
- Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint☆18Updated last year
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆27Updated 2 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆34Updated 2 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆117Updated 2 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- ☆12Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆26Updated last year
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated last month
- ☆87Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆30Updated last year
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆110Updated 9 months ago
- Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"☆25Updated 3 years ago
- ☆23Updated 3 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- ☆51Updated 9 months ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year