Results 41 to 50 of about 1,601,615 (185)

Rlaph: a lightweight and dynamic proactive defense method in cloud-edge collaboration

Cybersecurity
In cloud-edge collaboration scenarios, attackers pose significant security risks by compromising computational nodes and using them to infiltrate other nodes and networks.
Yingbo Li, Jie Yuan, Faqun Jiang, Rui Qian, Xiang Liu, Xinghai Wei, Xiaoyong Li   +6 more
doaj   +1 more source

Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy, Challenges, and Future Directions

Sensors, 2022
The recent upsurge of smart cities’ applications and their building blocks in terms of the Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data analytics, blockchain, and edge-cloud computing has urged the ...
Leila Ismail, Rajkumar Buyya
doaj   +1 more source

On Heterogeneous Coded Distributed Computing

, 2017
We consider the recently proposed Coded Distributed Computing (CDC) framework that leverages carefully designed redundant computations to enable coding opportunities that substantially reduce the communication load of distributed computing. We generalize
Avestimehr, A. Salman, Kiamari, Mehrdad, Wang, Chenwei   +2 more
core   +1 more source

A Mutiscale Residual Attention Network for Multitask Learning of Human Activity Using Radar Micro-Doppler Signatures

Remote Sensing, 2019
Short-range radar has become one of the latest sensor technologies for the Internet of Things (IoT), and it plays an increasingly vital role in IoT applications.
Yuan He, Xinyu Li, Xiaojun Jing
doaj   +1 more source

Distributed Computing with Adaptive Heuristics [PDF]

, 2010
We use ideas from distributed computing to study dynamic environments in which computational nodes, or decision makers, follow adaptive heuristics (Hart 2005), i.e., simple and unsophisticated rules of behavior, e.g., repeatedly "best replying" to others'
Jaggard, Aaron D., Schapira, Michael, Wright, Rebecca N.   +2 more
core  

Ecosystem-Oriented Distributed Evolutionary Computing

, 2012
We create a novel optimisation technique inspired by natural ecosystems, where the optimisation works at two levels: a first optimisation, migration of genes which are distributed in a peer-to-peer network, operating continuously in time; this process ...
Briscoe, Gerard, De Wilde, Philippe
core   +1 more source

Fault-tolerant distributed computing scheme based on erasure codes [PDF]

, 2006
Some emerging classes of distributed computing systems, such peer-to-peer or grid computing computing systems, are composed of heterogeneous computing resources potentially unreliable.
Lacan, Jérôme
core  

Infinite Networks, Halting and Local Algorithms

, 2014
The immediate past has witnessed an increased amount of interest in local algorithms, i.e., constant time distributed algorithms. In a recent survey of the topic (Suomela, ACM Computing Surveys, 2013), it is argued that local algorithms provide a natural
Kuusisto, Antti
core   +1 more source

EDOC: meeting the challenges of enterprise computing [PDF]

, 2005
An increasing demand for interoperable applications exists, sparking the real-time exchange of data across borders, applications, and IT platforms. To perform these tasks, enterprise computing now encompasses a new class of groundbreaking technologies ...
Hung, P.C.K., Sinderen, M.J. van
core   +2 more sources

Systematic Analysis of Low-Precision Training in Deep Neural Networks: Factors Influencing Matrix Computations

Applied Sciences
As Deep Neural Networks (DNNs) continue to increase in complexity, the computational demands of their training have become a significant bottleneck. Low-precision training has emerged as a crucial strategy, wherein full-precision values are quantized to ...
Ao Shen, Zhiquan Lai, Lizhi Zhang
doaj   +1 more source