Achieving Fairness in Dermatological Disease Diagnosis through Automatic
Weight Adjusting Federated Learning and Personalization

Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization

23 August 2022

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Papers citing "Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization"

15 / 15 papers shown

Title
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 103 49 0 07 Aug 2022
Federated Contrastive Learning for Volumetric Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 75 59 0 23 Apr 2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis Yawen Wu Dewen Zeng Xiaowei Xu Yiyu Shi Jingtong Hu MedIm 77 52 0 04 Mar 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning Yawen Wu Dewen Zeng Zhepeng Wang Yi Sheng Lei Yang A. James Yiyu Shi Jingtong Hu FedML 52 31 0 14 Feb 2022
Evaluating the fairness of fine-tuning strategies in self-supervised learning Jason Ramapuram Dan Busbridge Russ Webb 69 6 0 01 Oct 2021
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 147 192 0 20 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 327 873 0 01 Mar 2021
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning Yawen Wu Zhepeng Wang Yiyu Shi Jiaxi Hu 58 45 0 07 Jul 2020
A Smartphone-Based Skin Disease Classification Using MobileNet CNN Jessica S. Velasco Cherry G. Pascion Jean Wilmar Alberio Jonathan Apuang John Stephen Cruz Mark Angelo Gomez Benjamin Jr. Molina Lyndon Tuala A. Thio-ac R. Jorda 32 86 0 13 Nov 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 182 804 0 25 May 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 136 936 0 01 Feb 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 118 741 0 12 Dec 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 133 1,774 0 24 May 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 120 737 0 11 Nov 2015

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