A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
[HTML][HTML] Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …
6G-enabled edge intelligence for ultra-reliable low latency applications: Vision and mission
The increasing demand for automation and instant solution leads the technological world
towards massive applications such as the Internet of drones, Autonomous Vehicles (AVs) …
towards massive applications such as the Internet of drones, Autonomous Vehicles (AVs) …
Transmission power control for over-the-air federated averaging at network edge
Over-the-air computation (AirComp) has emerged as a new analog power-domain non-
orthogonal multiple access (NOMA) technique for low-latency model/gradient-updates …
orthogonal multiple access (NOMA) technique for low-latency model/gradient-updates …
Shift to 6G: Exploration on trends, vision, requirements, technologies, research, and standardization efforts
S Chavhan - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
Recent technological breakthroughs and significant expansion in the number of Internet-of-
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …
Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …
connected devices. The unprecedented surge of data volume in wireless systems …
16 federated knowledge distillation
Machine learning is one of the key building blocks in 5G and beyond [1–3], spanning a
broad range of applications and use cases. In the context of mission-critical applications [2 …
broad range of applications and use cases. In the context of mission-critical applications [2 …
Wireless edge computing with latency and reliability guarantees
Edge computing is an emerging concept based on distributed computing, storage, and
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
Gradient statistics aware power control for over-the-air federated learning
N Zhang, M Tao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a promising technique that enables many edge devices to train a
machine learning model collaboratively in wireless networks. By exploiting the superposition …
machine learning model collaboratively in wireless networks. By exploiting the superposition …