Sinem Sav

Orcid: 0000-0001-9096-8768

According to our database1, Sinem Sav authored at least 9 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study.
CoRR, 2024

2023
Privacy-Preserving Federated Recurrent Neural Networks.
Proc. Priv. Enhancing Technol., October, 2023

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference.
Proceedings of the Applied Cryptography and Network Security Workshops, 2023

2022
Privacy-preserving federated neural network learning for disease-associated cell classification.
Patterns, 2022

2021
Scalable Privacy-Preserving Distributed Learning.
Proc. Priv. Enhancing Technol., 2021

POSEIDON: Privacy-Preserving Federated Neural Network Learning.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2016
SIMARD: A simulated annealing based RNA design algorithm with quality pre-selection strategies.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Investigation of Multi-Objective Optimization criteria for RNA design.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Examining the annealing schedules for RNA design algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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