Sima Sinaei

Orcid: 0000-0001-5951-9374

According to our database1, Sima Sinaei authored at least 22 papers between 2011 and 2023.

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

Timeline

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On csauthors.net:

Bibliography

2023
Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition.
Proceedings of the Information Security Practice and Experience, 2023

Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach.
Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study.
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Privacy-preserving Federated Learning System for Fatigue Detection.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Artificial Intelligence Enabled Distributed Edge Computing for Internet of Things.
ERCIM News, 2022

FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks.
IEEE Des. Test, 2022

2021
DenDrift: A Drift-Aware Algorithm for Host Profiling.
CoRR, 2021

ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

RoCo-NAS: Robust and Compact Neural Architecture Search.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems.
Microprocess. Microsystems, 2020

Multi-level Binarized LSTM in EEG Classification for Wearable Devices.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020

MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG Signal Classification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design.
J. Supercomput., 2019

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Run-time mapping algorithm for dynamic workloads using association rule mining.
J. Syst. Archit., 2018

Run-time Mapping Algorithm for Dynamic Workloads on Heterogeneous MPSoCs Platforms.
Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

2017
Run-time mapping algorithm for dynamic workloads using process merging transformations.
Proceedings of the 2017 International Conference on Embedded Computer Systems: Architectures, 2017

Run-time resource allocation for embedded Multiprocessor System-on-Chip using tree-based design space exploration.
Proceedings of the 12th International Conference on Design & Technology of Integrated Systems In Nanoscale Era, 2017

2016
Novel Heuristic Mapping Algorithms for Design Space Exploration of Multiprocessor Embedded Architectures.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2011
An MOPSO method for mapping multimedia applications onto MP-SOC architectures.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011


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