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@@ -59,22 +59,18 @@ For more advanced usage, we provide a list of tutorials on:
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We have released the source code for the following papers under the `applications` folder:
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-- FedReID: [[code]](https://github.com/EasyFL-AI/EasyFL/tree/master/applications/fedreid) for [Performance Optimization for Federated Person Re-identification via Benchmark Analysis](https://dl.acm.org/doi/10.1145/3394171.3413814) (_ACMMM'2020_).
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- FedSSL: [[code]](https://github.com/EasyFL-AI/EasyFL/tree/master/applications/fedssl) for two papers: [Divergence-aware Federated Self-Supervised Learning](https://openreview.net/forum?id=oVE1z8NlNe) (_ICLR'2022_) and [Collaborative Unsupervised Visual Representation Learning From Decentralized Data](https://openaccess.thecvf.com/content/ICCV2021/html/Zhuang_Collaborative_Unsupervised_Visual_Representation_Learning_From_Decentralized_Data_ICCV_2021_paper.html) (_ICCV'2021_)
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+- FedReID: [[code]](https://github.com/EasyFL-AI/EasyFL/tree/master/applications/fedreid) for two papers: [Performance Optimization for Federated Person Re-identification via Benchmark Analysis](https://dl.acm.org/doi/10.1145/3394171.3413814) (_ACMMM'2020_) and [Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis](https://dl.acm.org/doi/10.1145/3531013) (_TOMM_)
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+- FedUReID: [[code]](https://github.com/EasyFL-AI/EasyFL/tree/master/applications/fedureid) for [Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification](https://arxiv.org/abs/2108.06493) (_ACMMM'2021_)
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-The following publications are developed using EasyFL:
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-
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-- Divergence-aware Federated Self-Supervised Learning, _ICLR'2022_. [[paper]](https://openreview.net/forum?id=oVE1z8NlNe)
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-- Collaborative Unsupervised Visual Representation Learning From Decentralized Data, _ICCV'2021_. [[paper]](https://openaccess.thecvf.com/content/ICCV2021/html/Zhuang_Collaborative_Unsupervised_Visual_Representation_Learning_From_Decentralized_Data_ICCV_2021_paper.html)
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-- Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification, _ACMMM'2021_. [[paper]](https://arxiv.org/abs/2108.06493)
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:bulb: We will release the source codes of these projects in this repository. Please stay tuned.
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We have been doing research on federated learning for several years, the following are our additional publications.
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- EasyFL: A Low-code Federated Learning Platform For Dummies, _IEEE Internet-of-Things Journal_. [[paper]](https://arxiv.org/abs/2105.07603)
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-- Performance Optimization for Federated Person Re-identification via Benchmark Analysis, _ACMMM'2020_. [[paper]](https://weiming.me/publication/fedreid/)
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- Federated Unsupervised Domain Adaptation for Face Recognition, _ICME'22_. [[paper]](https://weiming.me/publication/fedfr/)
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+- Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering, _MMSP'22_. [[paper]](https://ieeexplore.ieee.org/abstract/document/9949249/)
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## Join Our Community
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Zhuang Weiming