The paper 'On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence' was accepted at PPAI 2023.
The paper 'CPU-GPU Layer-Switched Low Latency CNN Inference' was accepted for Euromicro DSD 2022.
The paper 'Scenario Based Run-time Switching for Adaptive CNN-based Applications at the Edge' was accepted for ACM Transactions on Embedded Computing Systems.
Designing convolutional neural networks with constrained evolutionary piecemeal training
The paper 'The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies' was accepted for IEA/AIE 2021.
The paper 'Deep Learning Model Reuse and Composition in Knowledge Centric Networking’ was accepted for ICCCN 2020.
The paper 'An Evolutionary Optimization Algorithm for Gradually Saturating Objective Functions’ was accepted for ACM GECCO 2020.
The paper 'Constrained Evolutionary Piecemeal Training to Design Efficient Neural Networks’ was accepted for IEA/AIE 2020.
An evolutionary optimization algorithm for gradually saturating objective functions
Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks
Deep Learning Model Reuse and Composition in Knowledge Centric Networking
Optimization and deployment of CNNs at the Edge: The ALOHA experience