Neural Networks at the Edge

Abstract As neural networks gain importance with several successful applications of them, this paper raises the question of how they can be applied in the context of coalition operations. A key challenge in military coalition operations is that of energy and severe bandwidth constraints. We address this challenge by exploring the use of Deep Neural Networks (DNNs) and splitting them across multiple edge nodes. Further, we explore the idea of using spiking neural networks that can lower the energy consumption significantly. Preliminary results show that both these approaches can have significant impact on coalition operations.
  • Deboleena Roy (Purdue)
  • Gopalakrishnan Srinivasan (Purdue)
  • Priyadarshini Panda (Purdue)
  • Richard Tomsett (IBM UK)
  • Nirmit Desai (IBM US)
  • Raghu Ganti (IBM US)
  • Kaushik Roy (Purdue)
Date Jun-2019
Venue 2019 IEEE International Conference on Smart Computing (SMARTCOMP)