121 citations · 237 across the 6 of their papers we have counts for
7 papers
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim +1
Edge computing has revolutionized the world of mobile and wireless networks world thanks to its flexible, secure, and performing characteristics. Lately, we have witnessed the incr…
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour +3
The conventional federated learning (FedL) architecture distributes machine learning (ML) across worker devices by having them train local models that are periodically aggregated b…
IETF protocol suite for the Internet of Things: Overview and Recent Advancements
Roberto Morabito, Jaime Jiménez
Internet of Things (IoT) is a rapidly growing technological domain and the effort that many Standards Developing Organizations (SDOs) and alliances are dedicating to it is constant…
Distributing Intelligence to the Edge and Beyond
Edgar Ramos, Roberto Morabito, Jani-Pekka Kainulainen
Machine Intelligence (MI) technologies have revolutionized the design and applications of computational intelligence systems, by introducing remarkable scientific and technological…
Intelligence Stratum for IoT. Architecture Requirements and Functions
Edgar Ramos, Roberto Morabito
The use of Artificial Intelligence (AI) is becoming increasingly pervasive and relevant in many different application areas. Researchers are putting a considerable effort to take f…
A Performance Evaluation of Container Technologies on Internet of Things Devices
Roberto Morabito
The use of virtualization technologies in different contexts - such as Cloud Environments, Internet of Things (IoT), Software Defined Networking (SDN) - has rapidly increased durin…