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Future Generation Computer Systems, Volume 152
Volume 152, March 2024
- Federico Brogi
, Simone Bnà
On floating point precision in computational fluid dynamics using OpenFOAM. 1-16
- Carlo Mazzocca
Enabling Federated Learning at the Edge through the IOTA Tangle. 17-29
- Pedro Miguel Sánchez Sánchez
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification. 30-42 - Bailey J. Eccles
DNNShifter: An efficient DNN pruning system for edge computing. 43-54
- Zhiyu Wang, Mohammad Goudarzi
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments. 55-69
- Daniele De Sensi
Canary: Congestion-aware in-network allreduce using dynamic trees. 70-82
- Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán
FederatedTrust: A solution for trustworthy federated learning. 83-98
- Huifang Li
Co-evolutionary and Elite learning-based bi-objective Poor and Rich Optimization algorithm for scheduling multiple workflows in the cloud. 99-111 - Jiaru Bai
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
An adaptive load balancing strategy for stateful join operator in skewed data stream environments. 138-151
- Andrea Mattia Garavagno
ColabNAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor. 152-159
- Weiduo Chen
pommDNN: Performance optimal GPU memory management for deep neural network training. 160-169
- Robert Sajina
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
Adaptive asynchronous federated learning. 193-206 - Qiangqiang Jiang
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Prediction-based data reduction with dynamic target node selection in IoT sensor networks. 225-238 - (Withdrawn) An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation. 239-253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
DeScan: Censorship-resistant indexing and search for Web3. 257-272 - Mohammed Riyadh Abdmeziem
Group key management in the Internet of Things: Handling asynchronicity. 273-287
- Andrea Agiollo, Enkeleda Bardhi
Anonymous Federated Learning via Named-Data Networking. 288-303
- Minh-Ngoc Tran
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
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
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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