FedDropoutAvg: Generalizable federated learning for histopathology image
classification

FedDropoutAvg: Generalizable federated learning for histopathology image classification

25 November 2021

Nasir M. Rajpoot

Papers citing "FedDropoutAvg: Generalizable federated learning for histopathology image classification"

8 / 8 papers shown

Title
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Jisoo Kim Sungmin Kang Sunwoo Lee FedML 47 0 0 14 Mar 2025
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets Fatemeh Tavakoli D. B. Emerson Sana Ayromlou John Jewell Amrit Krishnan Yuchong Zhang A. Verma Fahad Razak FedML 36 1 0 28 Sep 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 16 4 0 06 Jun 2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout Yuanyuan Chen Zichen Chen Sheng Guo Yansong Zhao Zelei Liu Pengcheng Wu Che-Sheng Yang Zengxiang Li Han Yu AI4CE 27 9 0 22 Feb 2023
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 22 22 0 14 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 38 142 0 10 Oct 2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning Yuanyuan Chen Zichen Chen Pengcheng Wu Han Yu AI4CE 9 18 0 10 Aug 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017