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ORCIDFuture Generation Computer Systems, Volume 152
Volume 152, March 2024
- Federico Brogi
, Simone Bnà, G. Boga, Giorgio Amati, Tomaso Esposti Ongaro, Matteo Cerminara:
On floating point precision in computational fluid dynamics using OpenFOAM. 1-16
- Carlo Mazzocca, Nicolò Romandini, Rebecca Montanari, Paolo Bellavista:
Enabling Federated Learning at the Edge through the IOTA Tangle. 17-29
- Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification. 30-42 - Bailey J. Eccles, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
DNNShifter: An efficient DNN pruning system for edge computing. 43-54
- Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya:
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments. 55-69
- Daniele De Sensi, Edgar Costa Molero, Salvatore Di Girolamo, Laurent Vanbever, Torsten Hoefler:
Canary: Congestion-aware in-network allreduce using dynamic trees. 70-82
- Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Ning Xie, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
FederatedTrust: A solution for trustworthy federated learning. 83-98
- Huifang Li, Luzhi Tian, Guanghao Xu, Julio Ruben Cañizares Abreu, Shuangxi Huang, Senchun Chai, Yuanqing Xia:
Co-evolutionary and Elite learning-based bi-objective Poor and Rich Optimization algorithm for scheduling multiple workflows in the cloud. 99-111 - Jiaru Bai, Kok Foong Lee, Markus Hofmeister, Sebastian Mosbach, Jethro Akroyd, Markus Kraft:
A derived information framework for a dynamic knowledge graph and its application to smart cities. 112-126 - Sheng Wang, Shiping Chen, Yumei Shi:
GPARS: Graph predictive algorithm for efficient resource scheduling in heterogeneous GPU clusters. 127-137 - Dawei Sun, Chunlin Zhang, Shang Gao, Rajkumar Buyya:
An adaptive load balancing strategy for stateful join operator in skewed data stream environments. 138-151
- Andrea Mattia Garavagno, Daniele Leonardis, Antonio Frisoli:
ColabNAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor. 152-159
- Weiduo Chen, Xiaoshe Dong, Xinhang Chen, Song Liu, Qin Xia, Qiang Wang:
pommDNN: Performance optimal GPU memory management for deep neural network training. 160-169
- Robert Sajina, Nikola Tankovic, Ivo Ipsic:
Multi-task peer-to-peer learning using an encoder-only transformer model. 170-178 - Amuda James Abu, Brahim Bensaou, Ahmed M. Abdelmoniem:
Dimensioning the pending interest table in content-centric networks. 179-192 - Renhao Lu, Weizhe Zhang, Qiong Li, Hui He, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang, Zenglin Xu, Mamoun Alazab:
Adaptive asynchronous federated learning. 193-206 - Qiangqiang Jiang, Xu Xin, Libo Yao, Bo Chen:
METSM: Multiobjective energy-efficient task scheduling model for an edge heterogeneous multiprocessor system. 207-223
- Yang Li, Dongrui Wu, Suhang Wang:
Future-generation attack and defense in neural networks. 224
- Bartlomiej Placzek:
Prediction-based data reduction with dynamic target node selection in IoT sensor networks. 225-238 - Premkumar Chithaluru, Fadi M. Al-Turjman, Raman Dugyala, Thompson Stephan, Manoj Kumar, Jagjit Singh Dhatterwal:
An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation. 239-253
- Jesús Carretero, Dagmar Krefting:
Cluster and cloud computing for life sciences. 254-256
- Martijn de Vos, Georgy Ishmaev, Johan Pouwelse:
DeScan: Censorship-resistant indexing and search for Web3. 257-272 - Mohammed Riyadh Abdmeziem, Amina Ahmed Nacer, Nawfel Moundji Deroues:
Group key management in the Internet of Things: Handling asynchronicity. 273-287
- Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti:
Anonymous Federated Learning via Named-Data Networking. 288-303
- Minh-Ngoc Tran, Young-Han Kim:
Optimized resource usage with hybrid auto-scaling system for knative serverless edge computing. 304-316
- Weimin Li, Lu Liu, Kevin I-Kai Wang, Qun Jin:
Preface of special issue on heterogeneous information network embedding and applications. 331-332
- Alan Y.-P. Lee, Michael I.-C. Wang, Chi-Hsiang Hung, Charles H.-P. Wen:
PS-IPS: Deploying Intrusion Prevention System with machine learning on programmable switch. 333-342
- Kiho Lim, Christian Esposito, Tian Wang, Chang Choi:
Editorial: Artificial intelligence in biomedical big data and digital healthcare. 343-345
- Xinkun Tao, Pengfei Sun, Zhuang Xiao, Chengcheng Fu, Xiaoyun Feng, Qingyuan Wang:
Modeling and Energy-Optimal Control for Freight Trains based on Data-Driven Approaches. 346-360
- Haroon Wahab, Irfan Mehmood, Hassan Ugail, Javier Del Ser, Khan Muhammad:
Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies. 361-371
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