Dolly Sapra

According to our database, Dolly Sapra authored at least 15 papers between 2017 and 2023.

Collaborative distances:

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

2023

On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence.

Daphnee Chabal, Dolly Sapra, Zoltán Ádám Mann

CoRR, 2023

Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs.

Dolly Sapra, Andy D. Pimentel

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

PELSI: Power-Efficient Layer-Switched Inference.

Ehsan Aghapour, Dolly Sapra, Andy D. Pimentel, Anuj Pathania

Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023

2022

Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge.

Svetlana Minakova, Dolly Sapra, Todor P. Stefanov, Andy D. Pimentel

ACM Trans. Embed. Comput. Syst., 2022

Designing convolutional neural networks with constrained evolutionary piecemeal training.

Dolly Sapra, Andy D. Pimentel

Appl. Intell., 2022

CPU-GPU Layer-Switched Low Latency CNN Inference.

Ehsan Aghapour, Dolly Sapra, Andy D. Pimentel, Anuj Pathania

Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021

Exploring Cell-Based Neural Architectures for Embedded Systems.

Ilja van Ipenburg, Dolly Sapra, Andy D. Pimentel

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies.

Uraz Odyurt, Dolly Sapra, Andy D. Pimentel

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020

Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks.

Dolly Sapra, Andy D. Pimentel

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Deep Learning Model Reuse and Composition in Knowledge Centric Networking.

Dolly Sapra, Andy D. Pimentel

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

An evolutionary optimization algorithm for gradually saturating objective functions.

Dolly Sapra, Andy D. Pimentel

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Optimization and deployment of CNNs at the edge: the ALOHA experience.

Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018

Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project.

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos

Proceedings of the 30th International Conference on Microelectronics, 2018

ALOHA: an architectural-aware framework for deep learning at the edge.

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo

Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018

2017

Work-in-Progress: Design-Space Exploration of Multi-Core Processors for Safety-Critical Real-Time Systems.

Dolly Sapra, Sebastian Altmeyer

Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017