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Minimizing Energy Consumption of Deep Learning Models by Energy-Aware
  Training

Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training

1 July 2023
Dario Lazzaro
Antonio Emanuele Cinà
Maura Pintor
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
ArXivPDFHTML

Papers citing "Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training"

4 / 4 papers shown
Title
Protein pathways as a catalyst to directed evolution of the topology of
  artificial neural networks
Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks
Oscar Lao
Konstantinos Zacharopoulos
A. Fournaris
Rossano Schifanella
Ioannis Arapakis
34
0
0
07 Jun 2024
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing
  Activation Density in Transformers
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
Bharat Runwal
Tejaswini Pedapati
Pin-Yu Chen
MoE
47
4
0
02 Feb 2024
Energy-Latency Attacks via Sponge Poisoning
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
39
29
0
14 Mar 2022
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
311
1,047
0
10 Feb 2017
1