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Federated Learning on Transcriptomic Data: Model Quality and Performance
  Trade-Offs

Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs

22 February 2024
Anika Hannemann
Jan Ewald
Leo Seeger
Erik Buchmann
    FedML
ArXivPDFHTML

Papers citing "Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs"

4 / 4 papers shown
Title
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Chetan Pathade
Shubham Patil
16
0
0
12 May 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics
Daniele Malpetti
Marco Scutari
Francesco Gualdi
Jessica van Setten
Sander van der Laan
Saskia Haitjema
Aaron Mark Lee
Isabelle Hering
Francesca Mangili
FedML
AI4CE
98
1
0
12 Mar 2025
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
64
181
0
06 Dec 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
162
563
0
27 Jul 2020
1