This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation"
☆22Mar 4, 2025Updated 11 months ago
Alternatives and similar repositories for Federated-Hyper-Knowledge-Distillation
Users that are interested in Federated-Hyper-Knowledge-Distillation are comparing it to the libraries listed below
Sorting:
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆27Nov 21, 2023Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆48Feb 11, 2023Updated 3 years ago
- ☆12Oct 28, 2023Updated 2 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆15Jun 28, 2024Updated last year
- ☆16Aug 25, 2021Updated 4 years ago
- ☆12Jan 16, 2024Updated 2 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆90Feb 24, 2023Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- ☆15Dec 15, 2023Updated 2 years ago
- Implementation of FedBary☆16Mar 24, 2025Updated 11 months ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆16Feb 17, 2023Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆35Aug 3, 2022Updated 3 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Oct 2, 2023Updated 2 years ago
- ☆22Sep 1, 2023Updated 2 years ago
- ☆16Apr 12, 2023Updated 2 years ago
- ☆16Feb 28, 2023Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Nov 13, 2022Updated 3 years ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Aug 30, 2023Updated 2 years ago
- MICCAI2023. "One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation"☆19Jan 24, 2024Updated 2 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Mar 28, 2023Updated 2 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆20May 3, 2023Updated 2 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆20Jul 25, 2023Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆63Aug 28, 2023Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆57May 27, 2023Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- Code Implementation and Informations about FedAS☆33Feb 4, 2025Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆28Oct 27, 2023Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Jan 7, 2023Updated 3 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Oct 6, 2023Updated 2 years ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆33Nov 30, 2023Updated 2 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆41Aug 31, 2025Updated 6 months ago
- A very good course about finetune llm for beginners【大模型微调】☆28Aug 21, 2025Updated 6 months ago
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- Federated Reinforcement Learning project☆32Feb 26, 2023Updated 3 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆93Sep 10, 2024Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Feb 27, 2022Updated 4 years ago