A Survey on Collaborative Learning for Intelligent Autonomous Systems
JCSD Anjos, KJ Matteussi, FC Orlandi… - ACM Computing …, 2023 - dl.acm.org
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 …
An algorithm to minimize energy consumption and elapsed time for IoT workloads in a hybrid architecture
Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
Performance evaluation analysis of spark streaming backpressure for data-intensive pipelines
A significant rise in the adoption of streaming applications has changed the decision-making
processes in the last decade. This movement has led to the emergence of several Big Data …
processes in the last decade. This movement has led to the emergence of several Big Data …
Boosting big data streaming applications in clouds with BurstFlow
The rapid growth of stream applications in financial markets, health care, education, social
media, and sensor networks represents a remarkable milestone for data processing and …
media, and sensor networks represents a remarkable milestone for data processing and …
Classifying weather images using deep neural networks for large scale datasets
S Mittal, OP Sangwan - International Journal of Advanced …, 2023 - search.proquest.com
Classifying weather from outdoor images helps prevent road accidents, schedule outdoor
activities, and improve the reliability of vehicle assistant driving and outdoor video …
activities, and improve the reliability of vehicle assistant driving and outdoor video …
MFLCES: Multi-Level Federated Edge Learning Algorithm Based on Client and Edge Server Selection
Z Liu, S Duan, S Wang, Y Liu, X Li - Electronics, 2023 - mdpi.com
This research suggests a multi-level federated edge learning algorithm by leveraging the
advantages of Edge Computing Paradigm. Model aggregation is partially moved from a …
advantages of Edge Computing Paradigm. Model aggregation is partially moved from a …
A dynamic cost model to minimize energy consumption and processing time for iot tasks in a mobile edge computing environment
JLG Gross, KJ Matteussi, JCS dos Anjos… - … Oriented Computing: 18th …, 2020 - Springer
The rapid growth of IoT devices and applications with data-intensive processing has led to
energy consumption and latency concerns. These applications tend to offload task …
energy consumption and latency concerns. These applications tend to offload task …
TEMS: An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture
JCS dos Anjos, JLG Gross, KJ Matteussi, GV González… - 2021 - preprints.org
Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
[PDF][PDF] Boosting Big Data Streaming Applications in Clouds with BurstFlow
PRRDES JUNIOR, KJ MATTEUSSI, A DA SILVA… - aveith.github.io
The rapid growth of stream applications in financial markets, health care, education, social
media, and sensor networks represents a remarkable milestone for data processing and …
media, and sensor networks represents a remarkable milestone for data processing and …
Boosting big data streaming applications in clouds with burstFlow
PRR Souza Junior, KJ Matteussi, AS Veith… - … .[Piscataway, NJ]. Vol …, 2020 - lume.ufrgs.br
The rapid growth of stream applications in financial markets, health care, education, social
media, and sensor networks represents a remarkable milestone for data processing and …
media, and sensor networks represents a remarkable milestone for data processing and …