Zobrazeno 1 - 10
of 15 683
pro vyhledávání: '"Co-optimization"'
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
Private deep neural network (DNN) inference based on secure two-party computation (2PC) enables secure privacy protection for both the server and the client. However, existing secure 2PC frameworks suffer from a high inference latency due to enormous
Externí odkaz:
http://arxiv.org/abs/2410.09531
Designing generalized in-memory computing (IMC) hardware that efficiently supports a variety of workloads requires extensive design space exploration, which is infeasible to perform manually. Optimizing hardware individually for each workload or sole
Externí odkaz:
http://arxiv.org/abs/2410.16759
Autor:
Yang, Yanhao, Hatton, Ross L.
Recent advancements in soft actuators have enabled soft continuum swimming robots to achieve higher efficiency and more closely mimic the behaviors of real marine animals. However, optimizing the design and control of these soft continuum robots rema
Externí odkaz:
http://arxiv.org/abs/2409.15220
The design (shape) of a robot is usually decided before the control is implemented. This might limit how well the design is adapted to a task, as the suitability of the design is given by how well the robot performs in the task, which requires both a
Externí odkaz:
http://arxiv.org/abs/2409.08621
Autor:
Yang, Shenyao1,2 (AUTHOR) yangshenyaocq@163.com, Qi, Zhilin1 (AUTHOR), Tian, Jie1 (AUTHOR), Dong, Mingda1 (AUTHOR), Zhang, Wei1 (AUTHOR) zhangwei2021300@163.com, Yan, Wende1 (AUTHOR) zhangwei2021300@163.com
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 21, p5239. 13p.
Autor:
Wang, Yuxing, Li, Jie, Yu, Cong, Li, Xinyang, Huang, Simeng, Chang, Yongzhe, Wang, Xueqian, Liang, Bin
The emergence of modular satellites marks a significant transformation in spacecraft engineering, introducing a new paradigm of flexibility, resilience, and scalability in space exploration endeavors. In addressing complex challenges such as attitude
Externí odkaz:
http://arxiv.org/abs/2409.13166
This paper presents ARCO, an adaptive Multi-Agent Reinforcement Learning (MARL)-based co-optimizing compilation framework designed to enhance the efficiency of mapping machine learning (ML) models - such as Deep Neural Networks (DNNs) - onto diverse
Externí odkaz:
http://arxiv.org/abs/2407.08192
Autor:
Saloglu, Keziban, Taheri, Ehsan
Solar-powered electric propulsion systems can operate in multiple modes and their operation is coupled to the power generated by solar arrays. However, the power produced by the solar arrays is a function of the solar array size and heliocentric dist
Externí odkaz:
http://arxiv.org/abs/2408.15943
Autor:
Sheng, Yi, Yang, Junhuan, Li, Jinyang, Alaina, James, Xu, Xiaowei, Shi, Yiyu, Hu, Jingtong, Jiang, Weiwen, Yang, Lei
As Artificial Intelligence (AI) increasingly integrates into our daily lives, fairness has emerged as a critical concern, particularly in medical AI, where datasets often reflect inherent biases due to social factors like the underrepresentation of m
Externí odkaz:
http://arxiv.org/abs/2407.13896
In the pursuit of a carbon-neutral future, hydrogen emerges as a pivotal element, serving as a carbon-free energy carrier and feedstock. As efforts to decarbonize sectors such as heating and transportation intensify, understanding and navigating thro
Externí odkaz:
http://arxiv.org/abs/2406.00669