Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation
☆29May 22, 2023Updated 2 years ago
Alternatives and similar repositories for DaFKD2023
Users that are interested in DaFKD2023 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- ☆56Feb 23, 2024Updated 2 years ago
- ☆21Apr 27, 2024Updated last year
- ☆23Apr 30, 2022Updated 3 years ago
- ☆27Feb 26, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆91Feb 24, 2023Updated 3 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Nov 8, 2023Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Oct 2, 2023Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 4 months ago
- GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting☆15Mar 12, 2023Updated 3 years ago
- ☆15Dec 15, 2023Updated 2 years ago
- ☆22Sep 1, 2023Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Feb 11, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆22Mar 4, 2025Updated last year
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆23Oct 10, 2023Updated 2 years ago
- Code and data accompanying the FedGen paper☆260Oct 31, 2024Updated last year
- Official Code for PACFL AAAI 2023☆45Aug 6, 2023Updated 2 years ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆46Apr 8, 2023Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆33Apr 23, 2023Updated 2 years ago
- ☆16Aug 25, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Communication-efficient federated continual learning☆20Jan 3, 2023Updated 3 years ago
- MICCAI 2023 DeCaF Best Paper Award: Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classifica…☆15Dec 2, 2023Updated 2 years ago
- ☆52May 19, 2022Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆47Feb 16, 2023Updated 3 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆15Jun 14, 2024Updated last year
- ☆12Oct 28, 2023Updated 2 years ago
- ☆14May 5, 2022Updated 3 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆64Aug 28, 2023Updated 2 years ago
- ☆14Oct 12, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- Self-supervised federated learning for medical imaging - IEEE TMI☆76May 27, 2024Updated last year
- ☆13Jan 12, 2024Updated 2 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆35Dec 11, 2022Updated 3 years ago
- The official implementation for the paper: "FedMLP: Federated Multi-Label Medical Image Classiffcation under Task Heterogeneity", which i…☆23Dec 27, 2024Updated last year
- 一个用于联邦学习或分布式机器学习,对不同网络拓扑进行实验的简易框架。☆39Mar 25, 2023Updated 3 years ago
- ☆35May 23, 2021Updated 4 years ago