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Reward Systems for Trustworthy Medical Federated Learning
v1v2 (latest)

Reward Systems for Trustworthy Medical Federated Learning

ACM Transactions on Computing for Healthcare (TCH), 2022
1 May 2022
Konstantin D. Pandl
Florian Leiser
Scott Thiebes
Ali Sunyaev
    OODFedML
ArXiv (abs)PDFHTML

Papers citing "Reward Systems for Trustworthy Medical Federated Learning"

5 / 5 papers shown
On the Fragility of Contribution Score Computation in Federated Learning
On the Fragility of Contribution Score Computation in Federated Learning
Balazs Pejo
Marcell Frank
Krisztian Varga
Peter Veliczky
G. Biczók
FedML
223
0
0
24 Sep 2025
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Luis M. Lopez-Ramos
Florian Leiser
Aditya Rastogi
Steven Hicks
Inga Strümke
V. Madai
Tobias Budig
Ali Sunyaev
A. Hilbert
495
8
0
07 Nov 2024
Federated Learning in Healthcare: Model Misconducts, Security,
  Challenges, Applications, and Future Research Directions -- A Systematic
  Review
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
233
22
0
22 May 2024
Trustworthy Federated Learning: A Survey
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
283
16
0
19 May 2023
Scalable Data Point Valuation in Decentralized Learning
Scalable Data Point Valuation in Decentralized Learning
Konstantin D. Pandl
Chun-Yin Huang
Ivan Beschastnikh
Xiaoxiao Li
Scott Thiebes
Ali Sunyaev
FedMLTDI
130
1
0
01 May 2023
1
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