| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive asynchronous federated learning
|
Lu, Renhao
|
|
|
152 |
C |
p. 193-206
|
artikel
|
| 2 |
A derived information framework for a dynamic knowledge graph and its application to smart cities
|
Bai, Jiaru
|
|
|
152 |
C |
p. 112-126
|
artikel
|
| 3 |
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
|
Sánchez Sánchez, Pedro Miguel
|
|
|
152 |
C |
p. 30-42
|
artikel
|
| 4 |
An adaptive load balancing strategy for stateful join operator in skewed data stream environments
|
Sun, Dawei
|
|
|
152 |
C |
p. 138-151
|
artikel
|
| 5 |
Anonymous Federated Learning via Named-Data Networking
|
Agiollo, Andrea
|
|
|
152 |
C |
p. 288-303
|
artikel
|
| 6 |
APapo: An asynchronous parallel optimization method for DNN models
|
Liu, Shuai
|
|
|
152 |
C |
p. 317-330
|
artikel
|
| 7 |
Canary: Congestion-aware in-network allreduce using dynamic trees
|
De Sensi, Daniele
|
|
|
152 |
C |
p. 70-82
|
artikel
|
| 8 |
Cluster and cloud computing for life sciences
|
Carretero, Jesus
|
|
|
152 |
C |
p. 254-256
|
artikel
|
| 9 |
Co-evolutionary and Elite learning-based bi-objective Poor and Rich Optimization algorithm for scheduling multiple workflows in the cloud
|
Li, Huifang
|
|
|
152 |
C |
p. 99-111
|
artikel
|
| 10 |
ColabNAS: Obtaining lightweight task-specific convolutional neural networks following Occam’s razor
|
Garavagno, Andrea Mattia
|
|
|
152 |
C |
p. 152-159
|
artikel
|
| 11 |
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments
|
Wang, Zhiyu
|
|
|
152 |
C |
p. 55-69
|
artikel
|
| 12 |
DeScan: Censorship-resistant indexing and search for Web3
|
de Vos, Martijn
|
|
|
152 |
C |
p. 257-272
|
artikel
|
| 13 |
Dimensioning the pending interest table in content-centric networks
|
Abu, Amuda James
|
|
|
152 |
C |
p. 179-192
|
artikel
|
| 14 |
DNNShifter: An efficient DNN pruning system for edge computing
|
Eccles, Bailey J.
|
|
|
152 |
C |
p. 43-54
|
artikel
|
| 15 |
Editorial: Artificial intelligence in biomedical big data and digital healthcare
|
Lim, Kiho
|
|
|
152 |
C |
p. 343-345
|
artikel
|
| 16 |
Editorial Board
|
|
|
|
152 |
C |
p. ii
|
artikel
|
| 17 |
Enabling Federated Learning at the Edge through the IOTA Tangle
|
Mazzocca, Carlo
|
|
|
152 |
C |
p. 17-29
|
artikel
|
| 18 |
Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies
|
Wahab, Haroon
|
|
|
152 |
C |
p. 361-371
|
artikel
|
| 19 |
FederatedTrust: A solution for trustworthy federated learning
|
Sánchez Sánchez, Pedro Miguel
|
|
|
152 |
C |
p. 83-98
|
artikel
|
| 20 |
Future-generation attack and defense in neural networks
|
Li, Yang
|
|
|
152 |
C |
p. 224
|
artikel
|
| 21 |
GPARS: Graph predictive algorithm for efficient resource scheduling in heterogeneous GPU clusters
|
Wang, Sheng
|
|
|
152 |
C |
p. 127-137
|
artikel
|
| 22 |
Group key management in the Internet of Things: Handling asynchronicity
|
Abdmeziem, Mohammed Riyadh
|
|
|
152 |
C |
p. 273-287
|
artikel
|
| 23 |
METSM: Multiobjective energy-efficient task scheduling model for an edge heterogeneous multiprocessor system
|
Jiang, Qiangqiang
|
|
|
152 |
C |
p. 207-223
|
artikel
|
| 24 |
Modeling and Energy-Optimal Control for Freight Trains based on Data-Driven Approaches
|
Tao, Xinkun
|
|
|
152 |
C |
p. 346-360
|
artikel
|
| 25 |
Multi-task peer-to-peer learning using an encoder-only transformer model
|
Šajina, Robert
|
|
|
152 |
C |
p. 170-178
|
artikel
|
| 26 |
On floating point precision in computational fluid dynamics using OpenFOAM
|
Brogi, F.
|
|
|
152 |
C |
p. 1-16
|
artikel
|
| 27 |
Optimized resource usage with hybrid auto-scaling system for knative serverless edge computing
|
Tran, Minh-Ngoc
|
|
|
152 |
C |
p. 304-316
|
artikel
|
| 28 |
pommDNN: Performance optimal GPU memory management for deep neural network training
|
Chen, Weiduo
|
|
|
152 |
C |
p. 160-169
|
artikel
|
| 29 |
Prediction-based data reduction with dynamic target node selection in IoT sensor networks
|
Płaczek, Bartłomiej
|
|
|
152 |
C |
p. 225-238
|
artikel
|
| 30 |
Preface of special issue on heterogeneous information network embedding and applications
|
Li, Weimin
|
|
|
152 |
C |
p. 331-332
|
artikel
|
| 31 |
PS-IPS: Deploying Intrusion Prevention System with machine learning on programmable switch
|
Lee, Alan Y.-P.
|
|
|
152 |
C |
p. 333-342
|
artikel
|
| 32 |
RETRACTED: An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation
|
Chithaluru, Premkumar
|
|
|
152 |
C |
p. 239-253
|
artikel
|
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