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

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

Navid Seidi
Satyaki Roy
Sajal Das
ArXiv (abs)PDFHTML

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
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
111
11
0
03 Nov 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models
Navid Seidi
Satyaki Roy
Sajal Das
Ardhendu Shekhar Tripathy
91
3
0
20 Jul 2024
Byzantine-Robust Decentralized Federated Learning
Byzantine-Robust Decentralized Federated Learning
Minghong Fang
Zifan Zhang
Hairi
Prashant Khanduri
Jia Liu
Songtao Lu
Yuchen Liu
Neil Zhenqiang Gong
AAMLFedMLOOD
112
25
0
14 Jun 2024
Using Geographic Location-based Public Health Features in Survival Analysis
Using Geographic Location-based Public Health Features in Survival Analysis
Navid Seidi
Ardhendu Shekhar Tripathy
Sajal Das
61
6
0
16 Apr 2023
Dynamic Clustering in Federated Learning
Dynamic Clustering in Federated Learning
Yeongwoo Kim
Ezeddin Al Hakim
Johan Haraldson
Henrik Eriksson
J. M. B. D. Silva
Carlo Fischione
94
60
0
07 Dec 2020
Federated Survival Analysis with Discrete-Time Cox Models
Federated Survival Analysis with Discrete-Time Cox Models
M. Andreux
Andre Manoel
Romuald Menuet
C. Saillard
C. Simpson
FedML
124
40
0
16 Jun 2020
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
OODFedML
163
1,533
0
05 Mar 2018
The Hidden Vulnerability of Distributed Learning in Byzantium
The Hidden Vulnerability of Distributed Learning in Byzantium
El-Mahdi El-Mhamdi
R. Guerraoui
Sébastien Rouault
AAMLFedML
79
769
0
22 Feb 2018
Differentially Private Federated Learning: A Client Level Perspective
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer
T. Klein
Moin Nabi
FedML
160
1,306
0
20 Dec 2017
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
Basel Alomair
AAML
217
1,745
0
08 Nov 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
237
6,195
0
01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
500
17,770
0
17 Feb 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
474
19,189
0
20 Dec 2014