Publications

Book chapter (1)

Hardware Acceleration for Recurrent Neural Networks (May 2020)
Sima Sinaei, Masoud Daneshtalab
Institution of Engineering and Technology (IET)

Journal article (3)

Balancing Privacy and Performance in Federated Learning: a Systematic Literature Review on Methods and Metrics (Mar 2024)
Samaneh Mohammadi, Ali Balador, Sima Sinaei, Francesco Flammini
Journal of Parallel and Distributed Computing (JPDC)

FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks (Jun 2022)
Najmeh Nazari , Seyed Ahmad Mirsalari , Sima Sinaei, Mostafa Salehi , Masoud Daneshtalab
IEEE Design and Test (IEEE D&T)

DeepMaker: A Multi-Objective Optimization Framework for Deep Neural Networks in Embedded Systems (Jan 2020)
Mohammad Loni, Sima Sinaei, Ali Zoljodi, Masoud Daneshtalab, Mikael Sjödin
Elsevier journal of Microprocessors and Microsystems (MICPRO)

Conference/Workshop Paper (10)

Enhancing Object Detection for Autonomous Machines in Private Construction Sites Through Federated Learning
Mohammadreza Mohammadi , Maghsood Salimi, Mohammad Loni, Sima Sinaei
13th International Conference on Computer Technologies and Development (TechDev 2024)

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study (Oct 2023)
Kateryna Mishchenko , Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei
The Eighth IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2023)

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition (Sep 2023)
Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei, Ali Balador, Ehsan Nowroozi , Francesco Flammini, Mauro Conti
18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition (Aug 2023)
Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC 2023)

Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition (Aug 2023)
Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
18th International Conference on Information Security Practice and Experience (ISPEC 2023)

RoCo-NAS: Robust and Compact Neural Architecture Search (Jul 2021)
Vahid Geraeinejad , Sima Sinaei, Mehdi Modarressi , Masoud Daneshtalab
the international joint conference on neural networks (IJCNN)

ELC-ECG: Efficient LSTM Cell for ECG Classification based on Quantized Architecture (May 2021)
Seyed Ahmad Mirsalari , Najmeh Nazari , Sima Sinaei, Mostafa Salehi , Masoud Daneshtalab
IEEE International Symposium on Circuits & Systems (ISCAS)

MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification (Oct 2020)
Seyed Ahmad Mirsalari , Sima Sinaei, Mostafa Salehi , Masoud Daneshtalab
IEEE International Symposium on Circuits & Systems (ISCAS)

Multi-level Binarized LSTM in EEG Classification for Wearable Devices (Mar 2020)
Najmeh Nazari , Seyed Ahmad Mirsalari , Sima Sinaei, Mostafa Salehi , Masoud Daneshtalab
in Proceedings of 28th IEEE Euromicro Conference on Parallel, Distributed and Network-Based Computing (PDP'20)

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems (Sep 2019)
Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin
The 28th International Conference on Artificial Neural Networks (ICANN 2019)

Other (1)

DPAC Newsletter Spring 2020 (May 2020)
Kristina Lundqvist, Mikael Sjödin, Saad Mubeen, Håkan Forsberg, Mikael Ekström, Cristina Seceleanu, Nandinbaatar Tsog, Jakob Danielsson, Mohammad Loni, Baran Çürüklü, LanAnh Trinh, Afshin Ameri E., Luciana Provenzano, Kaj Hänninen, Susanne Fronnå, Marjan Sirjani, Rong Gu, Masoud Daneshtalab, Sima Sinaei, Joakim Lindén