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"
☆23Mar 4, 2025Updated last year
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆30Nov 21, 2023Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆49Feb 11, 2023Updated 3 years ago
- ☆12Oct 28, 2023Updated 2 years ago
- ☆16Aug 25, 2021Updated 4 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Secure and Scalable Federated Learning using Serverless Computing☆13Jan 31, 2024Updated 2 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆60Mar 28, 2023Updated 3 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 3 years ago
- ☆15Dec 15, 2023Updated 2 years ago
- Implementation of FedBary☆18Mar 24, 2025Updated last year
- ☆13Jan 16, 2024Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆93Feb 24, 2023Updated 3 years ago
- ☆22Sep 1, 2023Updated 2 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
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆20May 3, 2023Updated 3 years ago
- ☆16Feb 28, 2023Updated 3 years ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆16Feb 17, 2023Updated 3 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆19Oct 2, 2023Updated 2 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆16Jun 28, 2024Updated 2 years ago
- [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning☆22Dec 26, 2024Updated last year
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆45Jul 15, 2023Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆35Aug 3, 2022Updated 3 years ago
- Code and data accompanying the FedGen paper☆263Oct 31, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆20Apr 12, 2023Updated 3 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆67Aug 28, 2023Updated 2 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
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆188May 26, 2022Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆41Nov 13, 2022Updated 3 years ago
- ☆35Nov 8, 2023Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆80Feb 27, 2022Updated 4 years ago
- A demo using Zokrates to build an encrypted transaction on Ethereum/Qtum based on zkSNARKs algorithm☆15Oct 16, 2019Updated 6 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆21Jul 25, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The ACCEPT image analysis algorithm made for the Cancer-ID Project.☆10Sep 12, 2019Updated 6 years ago
- Code Implementation and Informations about FedAS☆36Feb 4, 2025Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆150Nov 11, 2024Updated last year
- This repo contains source code and datasets used in code for Deep transfer learning enables lesion tracing of circulating tumor cells(CTC…☆12Jun 26, 2023Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- IJCAI-Personalized Federated Learning with Graph☆58May 27, 2023Updated 3 years ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆11Dec 28, 2023Updated 2 years ago