Sima Sinaei

According to our database, Sima Sinaei authored at least 24 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids.

Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei

Proceedings of the 2024 8th International Conference on Cloud and Big Data Computing, 2024

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection.

Sima Sinaei, Mohammadreza Mohammadi, Rakesh Shrestha, Mina Alibeigi, David Eklund

Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

2023

Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition.

Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini

Proceedings of the Information Security Practice and Experience, 2023

Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach.

Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei, Alberto Salcines, David Pampliega, Raul Clemente, Ana Lourdes Sanz

Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study.

Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition.

Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini, Mauro Conti

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Privacy-preserving Federated Learning System for Fatigue Detection.

Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition.

Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

Artificial Intelligence Enabled Distributed Edge Computing for Internet of Things.

Ali Balador, Sima Sinaei, Mats Pettersson

ERCIM News, 2022

FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks.

Seyed Ahmad Mirsalari, Najmeh Nazari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab

IEEE Des. Test, 2022

2021

DenDrift: A Drift-Aware Algorithm for Host Profiling.

Ali Sedaghatbaf, Sima Sinaei, Perttu Ranta-aho, Marko Koskinen

CoRR, 2021

ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture.

Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

RoCo-NAS: Robust and Compact Neural Architecture Search.

Vahid Geraeinejad, Sima Sinaei, Mehdi Modarressi, Masoud Daneshtalab

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

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

Mohammad Loni, Sima Sinaei, Ali Zoljodi, Masoud Daneshtalab, Mikael Sjödin

Microprocess. Microsystems, 2020

Multi-level Binarized LSTM in EEG Classification for Wearable Devices.

Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab

Proceedings of the 28th Euromicro International Conference on Parallel, 2020

MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG Signal Classification.

Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab

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.

Sima Sinaei, Omid Fatemi

J. Supercomput., 2019

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems.

Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin

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.

Sima Sinaei, Omid Fatemi

J. Syst. Archit., 2018

Run-time Mapping Algorithm for Dynamic Workloads on Heterogeneous MPSoCs Platforms.

Sima Sinaei, Omid Fatemi

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

2017

Run-time mapping algorithm for dynamic workloads using process merging transformations.

Sima Sinaei, Omid Fatemi, Andy D. Pimentel

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.

Sima Sinaei, Andy D. Pimentel, Omid Fatemi

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.

Sima Sinaei, Omid Fatemi

Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2011

An MOPSO method for mapping multimedia applications onto MP-SOC architectures.

Sima Sinaei, Omid Fatemi

Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011