Reviewing federated learning aggregation algorithms; strategies, contributions, limitations and future perspectives
The success of machine learning (ML) techniques in the formerly difficult areas of data
analysis and pattern extraction has led to their widespread incorporation into various …
analysis and pattern extraction has led to their widespread incorporation into various …
Realizing the heterogeneity: A self-organized federated learning framework for IoT
The ubiquity of devices in Internet of Things (IoT) has opened up a large source for IoT data.
Machine learning (ML) models with big IoT data is beneficial to our daily life in monitoring air …
Machine learning (ML) models with big IoT data is beneficial to our daily life in monitoring air …
Machine learning techniques in optical networks: a systematic mapping study
G Villa, C Tipantuña, D Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …
networks, software-defined optical networks, and elastic optical networks are some …
A survey on QoT prediction using machine learning in optical networks
In optical networks, a connection (eg, light-path and light-tree) is set up to carry data from its
source to destination (s). When the optical signal transmits through the fiber links and optical …
source to destination (s). When the optical signal transmits through the fiber links and optical …
Survey on the use of machine learning for quality of transmission estimation in optical transport networks
Estimating the Quality of Transmission (QoT) of the optical signal from source to destination
nodes is the cornerstone of design engineering and service provisioning in optical transport …
nodes is the cornerstone of design engineering and service provisioning in optical transport …
Survey on Machine Learning-Enabled Network Slicing: Covering the Entire Life Cycle
A Donatti, SL Correa, JSB Martins… - … on Network and …, 2023 - ieeexplore.ieee.org
Network slicing (NS) is becoming an essential element of service management and
orchestration in communication networks, starting from mobile cellular networks and …
orchestration in communication networks, starting from mobile cellular networks and …
Fifty years of fixed optical networks evolution: a survey of architectural and technological developments in a layered approach
Over the past fifty years, telecommunications has transformed, in an unprecedented manner,
the way we live, work and communicate. For telecommunications, fixed networks are the one …
the way we live, work and communicate. For telecommunications, fixed networks are the one …
Decentralizing machine-learning-based QoT estimation for sliceable optical networks
Dynamic network slicing has emerged as a promising and fundamental framework for
meeting 5G's diverse use cases. As machine learning (ML) is expected to play a pivotal role …
meeting 5G's diverse use cases. As machine learning (ML) is expected to play a pivotal role …
Bayesian optimization-based algorithm to improve the quality of transmission estimation
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Bayesian
Optimization-Based Algorithm to Improve the Quality of Transmission Estimation Reda …
Optimization-Based Algorithm to Improve the Quality of Transmission Estimation Reda …
Representing uncertainty in deep QoT models
H Maryam, T Panayiotou… - 2022 20th Mediterranean …, 2022 - ieeexplore.ieee.org
Quality-of-transmission (QoT) estimation of unestablished lightpaths has been extensively
studied in the literature through the development of linear physical layer models (PLMs) and …
studied in the literature through the development of linear physical layer models (PLMs) and …