no code implementations • 12 Dec 2023 • Ferheen Ayaz, Maziar Nekovee
Simulation results show that the proposed solution can effectively meet the demand requirements even if the supply from grid is limited, and can averagely reduce 38. 21% of grid load.
no code implementations • 25 Apr 2023 • Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari
This paper reports the results of devising a tiny DNN model, robust to adversarial black and white box attacks, trained with an automatic quantizationaware training framework, i. e. QKeras, with deep quantization loss accounted in the learning loop, thereby making the designed DNNs more accurate for deployment on tiny devices.