A survey of scheduling in 5g urllc and outlook for emerging 6g systems
Future wireless communication is expected to be a paradigm shift from three basic service
requirements of 5th Generation (5G) including enhanced Mobile Broadband (eMBB), Ultra …
requirements of 5th Generation (5G) including enhanced Mobile Broadband (eMBB), Ultra …
Fedbkd: Heterogenous federated learning via bidirectional knowledge distillation for modulation classification in iot-edge system
P Qi, X Zhou, Y Ding, Z Zhang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Benefit from the rapid evolution of artificial intelligence and wireless communication
technology, diverse Internet of Things (IoT) devices with edge computing ability have widely …
technology, diverse Internet of Things (IoT) devices with edge computing ability have widely …
Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G
Abstract Space-air-ground-sea integrated (SAGSI) networks are envisioned to connect
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …
Collaborative sensing in perceptive mobile networks: Opportunities and challenges
With the development of innovative applications that demand accurate environment
information, for example, autonomous driving, sensing becomes an important requirement …
information, for example, autonomous driving, sensing becomes an important requirement …
Communication-efficient stochastic zeroth-order optimization for federated learning
Federated learning (FL), as an emerging edge artificial intelligence paradigm, enables many
edge devices to collaboratively train a global model without sharing their private data. To …
edge devices to collaboratively train a global model without sharing their private data. To …
A survey of beam management for mmWave and THz communications towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …
ushering in a new era of wireless communications. Beam management, namely initial …
TruFLaaS: Trustworthy federated learning as a service
The increasing availability of data generated by Internet of Things (IoT) and Industrial IoT
(IIoT) devices, as well as privacy and law regulations, have significantly boosted the interest …
(IIoT) devices, as well as privacy and law regulations, have significantly boosted the interest …
The Hexa-X project vision on Artificial Intelligence and Machine Learning-driven Communication and Computation co-design for 6G
This paper provides an overview of the most recent advancements and outcomes of the
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …
Differentially private federated learning via reconfigurable intelligent surface
Federated learning (FL), as a disruptive machine learning (ML) paradigm, enables the
collaborative training of a global model over decentralized local data sets without sharing …
collaborative training of a global model over decentralized local data sets without sharing …
Resource allocation for multiuser edge inference with batching and early exiting
The deployment of inference services at the network edge, called edge inference, offloads
computation-intensive inference tasks from mobile devices to edge servers, thereby …
computation-intensive inference tasks from mobile devices to edge servers, thereby …