42 citations · 62 across the 4 of their papers we have counts for
4 papers
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design
Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
In this paper, we first highlight three major challenges to large-scale adoption of deep learning at the edge: (i) Hardware-constrained IoT devices, (ii) Data security and privacy…
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems
Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy +4
Domain-specific systems-on-chip, a class of heterogeneous many-core systems, are recognized as a key approach to narrow down the performance and energy-efficiency gap between custo…
Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics
Alexandru Topirceanu, Mihai Udrescu, Radu Marculescu
The infectious diseases are spreading due to human interactions enabled by various social networks. Therefore, when a new pathogen such as SARS-CoV-2 causes an outbreak, the non-ph…
EdgeAI: A Vision for Deep Learning in IoT Era
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
The significant computational requirements of deep learning present a major bottleneck for its large-scale adoption on hardware-constrained IoT-devices. Here, we envision a new par…