Multi-Task Distributed Learning using Vision Transformer with Random
Patch Permutation

Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation

7 April 2022

Papers citing "Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation"

18 / 18 papers shown

Title
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 40 0 0 26 Mar 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 51 0 0 22 Jan 2025
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 40 1 0 15 Sep 2024
Privacy-Preserving Vision Transformer Using Images Encrypted with Restricted Random Permutation Matrices Kouki Horio K. Nishikawa Hitoshi Kiya PICV 35 0 0 16 Aug 2024
Disposable-key-based image encryption for collaborative learning of Vision Transformer Rei Aso Sayaka Shiota Hitoshi Kiya ViT FedML 28 1 0 11 Aug 2024
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training Zhiyuan Wang Bokui Chen Xiaoyang Qu Zhenhou Hong Jing Xiao Jianzong Wang 22 0 0 22 May 2024
Heterogeneous Federated Learning with Splited Language Model Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang FedML 27 1 0 24 Mar 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 11 0 0 08 Feb 2024
Recent Methodological Advances in Federated Learning for Healthcare Fan Zhang Daniel Kreuter Yichen Chen Sören Dittmer Samuel Tull ... James H. F. Rudd J. A. Aston Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts FedML OOD 21 5 0 04 Oct 2023
Single-round Self-supervised Distributed Learning using Vision Transformer Sangjoon Park Ik-jae Lee Jun Won Kim Jong Chul Ye FedML MedIm 13 1 0 05 Jan 2023
Vision Transformers in Medical Imaging: A Review Emerald U. Henry Onyeka Emebob C. Omonhinmin ViT MedIm 22 34 0 18 Nov 2022
Multi-Task Learning in Natural Language Processing: An Overview Shijie Chen Yu Zhang Qiang Yang AIMat 39 98 0 19 Sep 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 251 619 0 21 May 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 44 210 0 14 Jan 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 162 98 0 28 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 355 0 07 Dec 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,698 0 18 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 432 0 04 Mar 2020