Sima Sinaei
Orcid: 0000-0001-5951-9374
According to our database1,
Sima Sinaei
authored at least 26 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid.
J. Parallel Distributed Comput., 2024
Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics.
J. Parallel Distributed Comput., 2024
Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids.
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.
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.
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
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023
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
ERCIM News, 2022
IEEE Des. Test, 2022
2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
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
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
J. Syst. Archit., 2018
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
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011