Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare

22 May 2025

Papers citing "Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare"

13 / 13 papers shown

Title
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 78 6 0 03 Nov 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models Navid Seidi Satyaki Roy Sajal Das Ardhendu Shekhar Tripathy 55 3 0 20 Jul 2024
Byzantine-Robust Decentralized Federated Learning Minghong Fang Zifan Zhang Hairi Prashant Khanduri Jia Liu Songtao Lu Yuchen Liu Neil Zhenqiang Gong AAML FedML OOD 71 20 0 14 Jun 2024
Using Geographic Location-based Public Health Features in Survival Analysis Navid Seidi Ardhendu Shekhar Tripathy Sajal Das 28 6 0 16 Apr 2023
Dynamic Clustering in Federated Learning Yeongwoo Kim Ezeddin Al Hakim Johan Haraldson Henrik Eriksson J. M. B. D. Silva Carlo Fischione 38 57 0 07 Dec 2020
Federated Survival Analysis with Discrete-Time Cox Models M. Andreux Andre Manoel Romuald Menuet C. Saillard C. Simpson FedML 74 40 0 16 Jun 2020
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 77 1,483 0 05 Mar 2018
The Hidden Vulnerability of Distributed Learning in Byzantium El-Mahdi El-Mhamdi R. Guerraoui Sébastien Rouault AAML FedML 60 743 0 22 Feb 2018
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 88 1,287 0 20 Dec 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 126 1,727 0 08 Nov 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 170 6,069 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 241 17,328 0 17 Feb 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 189 18,922 0 20 Dec 2014