Edge Offloading in Smart Grid
The management of decentralized energy resources and smart grids needs novel data-
driven low-latency applications and services to improve resilience and responsiveness and …
driven low-latency applications and services to improve resilience and responsiveness and …
Task offloading exploiting grey wolf optimization in collaborative edge computing
The emergence of mobile edge computing (MEC) has brought cloud services to nearby
edge servers facilitating penetration of real-time and resource-consuming applications from …
edge servers facilitating penetration of real-time and resource-consuming applications from …
Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis
S Sebbio, G Morabito, A Catalfamo… - Proceedings of the …, 2023 - dl.acm.org
Edge Computing, a rapidly evolving sector within information technology, redefines data
processing and analysis by shifting it closer to the data source, away from centralized cloud …
processing and analysis by shifting it closer to the data source, away from centralized cloud …
A Socialized Learning-Based Scheduling Framework in Intricate Edge Clouds
Edge computing has emerged as a powerful paradigm for efficient scheduling at the network
edge to fulfill users' requirements for low latency. Edge servers' and clouds' ability to interact …
edge to fulfill users' requirements for low latency. Edge servers' and clouds' ability to interact …
Enhancing the resilience of error-prone computing environments using a hybrid multi-objective optimization algorithm for edge-centric cloud computing systems
MI Khaleel - Neural Computing and Applications, 2024 - Springer
The integration of advanced technologies like cloud and edge computing has facilitated
efficient resource coordination, resulting in improved overall management and widespread …
efficient resource coordination, resulting in improved overall management and widespread …
Energy and Latency-aware Computation Load Distribution of Hybrid Split and Federated Learning on IoT Devices
S Hossan, F Mahmud, P Roy, MA Razzaque… - Proceedings of the 10th …, 2023 - dl.acm.org
Split learning (SL) and Federated Learning (FL) are popular distributed learning frameworks
used to increase data privacy and reduce computation loads of Internet of Things (IoT) …
used to increase data privacy and reduce computation loads of Internet of Things (IoT) …
Energy Consumption Aware Delay Minimization for UAV Enabled Internet of Vehicle
SH Emon, MDL Rahman, SS Omi, P Roy… - … for Industry 5.0 (STI), 2023 - ieeexplore.ieee.org
Because of its adaptable nature and excellent maneuvering capabilities, the Unmanned
Aerial Vehicle (UAV) can develop a potential solution for executing the Internet of Vehicles …
Aerial Vehicle (UAV) can develop a potential solution for executing the Internet of Vehicles …