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awesome-federated-machine-learning

A curated list of awesome federated machine learning resources, including research papers, codes, tutorials, blogs and beyond

cpt

difftpt

【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning

donet

【TNNLS 2021】DONet: Dual-Octave Network for Fast MR Image Reconstruction

dual-octconv

【AAAI 2021】Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction

fedins

【ICCV 2023】Towards Instance-adaptive Inference for Federated Learning

fedmri

【IEEE TMI 2022】Specificity-Preserving Federated Learning for MR Image Reconstruction

fedpr

【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction

hitsz-daily-report

基于Github Action的定时HITsz疫情上报脚本，开箱即用

mario

minet

【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

mtrans

【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers

sanet

【IEEE TNNLS 2023】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

sprc

【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval

t2i-pal

t2net

【MICCAI 2021】Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

textdiff

【MICCAI 2024, Early Accept】Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models

vqa4cir

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering