A survey on collaborative learning for intelligent autonomous systems
This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …
Applying federated learning in software-defined networks: A survey
X Ma, L Liao, Z Li, RX Lai, M Zhang - Symmetry, 2022 - mdpi.com
Federated learning (FL) is a type of distributed machine learning approacs that trains global
models through the collaboration of participants. It protects data privacy as participants only …
models through the collaboration of participants. It protects data privacy as participants only …
Future smart connected communities to fight covid-19 outbreak
Abstract Internet of Things (IoT) has grown rapidly in the last decade and continues to
develop in terms of dimension and complexity, offering a wide range of devices to support a …
develop in terms of dimension and complexity, offering a wide range of devices to support a …
Hierarchical federated learning based anomaly detection using digital twins for smart healthcare
Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart
medical devices and applications used in smart hospitals, smart-home based care, and …
medical devices and applications used in smart hospitals, smart-home based care, and …
A survey on deep learning for challenged networks: Applications and trends
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
Access control model for google cloud iot
The prevalence of Internet of Things (IoT) is growing rapidly with increasing influence on our
daily life. IoT has received considerable attention in both academia and industry recently …
daily life. IoT has received considerable attention in both academia and industry recently …
Low latency deep learning inference model for distributed intelligent IoT edge clusters
Edge computing is a new paradigm enabling intelligent applications for the Internet of
Things (IoT) using mobile, low-cost IoT devices embedded with data analytics. Due to the …
Things (IoT) using mobile, low-cost IoT devices embedded with data analytics. Due to the …
A robust adversary detection-deactivation method for metaverse-oriented collaborative deep learning
Metaverse is trending to create a digital circumstance that can transfer the real world to an
online platform supported by large quantities of real-time interactions. Pretrained artificial …
online platform supported by large quantities of real-time interactions. Pretrained artificial …
Detecting anomalous user behavior in remote patient monitoring
The growth in Remote Patient Monitoring (RPM) services using wearable and non-wearable
Internet of Medical Things (IoMT) promises to improve the quality of diagnosis and facilitate …
Internet of Medical Things (IoMT) promises to improve the quality of diagnosis and facilitate …
A review of cloud-based malware detection system: Opportunities, advances and challenges
Cloud computing has an important role in all aspects of storing information and providing
services online. It brings several advantages over traditional storing and sharing schema …
services online. It brings several advantages over traditional storing and sharing schema …