From federated to fog learning: Distributed machine learning over heterogeneous wireless networks
S Hosseinalipour, CG Brinton… - IEEE …, 2020 - ieeexplore.ieee.org
… We have introduced fog learning, a new paradigm for distributing ML model training through
largescale networks of heterogeneous devices. We have demonstrated that fog learning is …
largescale networks of heterogeneous devices. We have demonstrated that fog learning is …
Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service
… of widely heterogeneous data generated from 6G networks will … networks with mobile
edge computing and caching for smart cities: A big data deep reinforcement learning approach…
edge computing and caching for smart cities: A big data deep reinforcement learning approach…
Secure machine learning scenario from big data in cloud computing via internet of things network
… through the wireless networks is to fulfill the objective set to them as a combined entity, with
the aim to achieve a better environment for the use of Big Data (… of heterogeneous data from …
the aim to achieve a better environment for the use of Big Data (… of heterogeneous data from …
[HTML][HTML] Energy efficiency techniques in ultra-dense wireless heterogeneous networks: An overview and outlook
… data traffic in wireless mobile networks. In order to satisfy the coverage and capacity demands
from the ever-increasing growth of mobile network … theoretical limit, network operators are …
from the ever-increasing growth of mobile network … theoretical limit, network operators are …
A device performance and data analytics concept for smartphones' IoT services and machine-type communication in cellular networks
KA Ogudo, D Muwawa Jean Nestor, O Ibrahim Khalaf… - Symmetry, 2019 - mdpi.com
… Cellular mobile networks have already been supporting … The most commonly known big
data challenges should be … The heterogeneity and the volume of M2M device data make …
data challenges should be … The heterogeneity and the volume of M2M device data make …
Edge computing-based security framework for big data analytics in VANETs
… collected by ITS can be characterized by heterogeneous formats, large volume, and … mobile
services poses challenges to our expectations of security and privacy in wireless networks…
services poses challenges to our expectations of security and privacy in wireless networks…
Quantifying uncertainty in internet of medical things and big-data services using intelligence and deep learning
… Heterogeneity of devices and wide scale use of wireless technology may cause uncertainty
in … authority in the areas of smart/cognitive, wireless, and mobile networks’ architectures, …
in … authority in the areas of smart/cognitive, wireless, and mobile networks’ architectures, …
Big data quality framework: a holistic approach to continuous quality management
… to Big Data Quality management through the Big Data lifecycle. … of such a management
perspective is to provide users or data … The data in Big Data comes from (1) heterogeneous data …
perspective is to provide users or data … The data in Big Data comes from (1) heterogeneous data …
Application of machine learning in wireless networks: Key techniques and open issues
… energy efficiency in wireless networks, related promising approaches based on big data
are … selection of D2D pairs in a heterogeneous cellular network as a stochastic non-cooperative …
are … selection of D2D pairs in a heterogeneous cellular network as a stochastic non-cooperative …
Wireless sensor networks for big data systems
… Furthermore, a wireless big data system that deals with massive data in wireless networks is
… Moreover, security issues for big data in heterogeneous WSN are reviewed and discussed …
… Moreover, security issues for big data in heterogeneous WSN are reviewed and discussed …