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Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics

Journal of parallel and distributed computing, 2024-10, Vol.192, p.104918, Article 104918

2024

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

Microprocessors and microsystems, 2020-03, Vol.73, p.102989, Article 102989

2020

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Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid

Journal of parallel and distributed computing, 2024-11, Vol.193, p.104951, Article 104951

2024

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Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design

The Journal of supercomputing, 2019-08, Vol.75 (8), p.4150-4176

2019

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DAIS Project - Distributed Artificial Intelligence Systems: Objectives and Challenges

ACM SIGAda Ada Letters, 2023-04, Vol.42 (2), p.96-98

2023

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Run-time mapping algorithm for dynamic workloads using association rule mining

Journal of systems architecture, 2018-11, Vol.91, p.1-10

2018

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

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation, 2019, Vol.11727 LNCS, p.208-222

2019

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

ISPEC 2023: Information Security Practice and Experience, 2023, Vol.14341, p.1-16

2023

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

2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), 2023, p.80-86

2023

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Artificial Intelligence Enabled Distributed Edge Computing for Internet of Things

ERCIM News, 2022 (129), p.41

2022

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Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition

2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, p.1021-1022

2023

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Privacy-preserving Federated Learning System for Fatigue Detection

2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023, p.624-629

2023

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Ada in Real-time Embedded System

Research journal of applied sciences, engineering and technology, 2013, Vol.5 (14), p.3803-3809

2013

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

Proceedings of the 2023 7th International Conference on Cloud and Big Data Computing, 2023, p.48-54

2023

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RoCo-NAS: Robust and Compact Neural Architecture Search

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-8

2021

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Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition

2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS), 2023, p.191-199

2023

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

2018 21st Euromicro Conference on Digital System Design (DSD), 2018, p.373-380

2018

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Tree-based algorithm for design space exploration and mapping application onto heterogeneous platforms

2017 19th International Symposium on Computer Architecture and Digital Systems (CADS), 2018, p.1-6

2018

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6G Network for Connecting CPS and Industrial IoT (IIoT)

Cyber-Physical Systems for Industrial Transformation, 2023, p.17-38

1, 2023

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Novel Heuristic Mapping Algorithms for Design Space Exploration of Multiprocessor Embedded Architectures

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 2016, p.801-804

2016

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

2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2018, p.188-195

2018

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Run-time resource allocation for embedded Multiprocessor System-on-Chip using tree-based design space exploration

2017 12th International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS), 2017, p.1-6

2017

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

2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE), 2011, p.001361-001364

2011

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Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics

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

Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid

Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design

DAIS Project - Distributed Artificial Intelligence Systems: Objectives and Challenges

Run-time mapping algorithm for dynamic workloads using association rule mining

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

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

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

Artificial Intelligence Enabled Distributed Edge Computing for Internet of Things

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition

Privacy-preserving Federated Learning System for Fatigue Detection

Ada in Real-time Embedded System

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

RoCo-NAS: Robust and Compact Neural Architecture Search

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition

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

Tree-based algorithm for design space exploration and mapping application onto heterogeneous platforms

6G Network for Connecting CPS and Industrial IoT (IIoT)

Novel Heuristic Mapping Algorithms for Design Space Exploration of Multiprocessor Embedded Architectures

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

Run-time resource allocation for embedded Multiprocessor System-on-Chip using tree-based design space exploration

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

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