409 citations · 2.9k across the 98 of their papers we have counts for
13 papers · 1 filter
Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing
Sadeep Batewela, Chen-Feng Liu, Mehdi Bennis +2
This letter studies an ultra-reliable low latency communication problem focusing on a vehicular edge computing network in which vehicles either fetch and synthesize images recorded…
Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Soheil Rostami, Walid Saad, Choong Seon Hong
Orbital angular momentum (OAM)-encoding has recently emerged as an effective approach for increasing the channel capacity of free-space optical communications. In this paper, OAM-b…
Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
Madyan Alsenwi, Kitae Kim, Choong Seon Hong
The minimum frequency-time unit that can be allocated to User Equipments (UEs) in the fifth generation (5G) cellular networks is a Resource Block (RB). A RB is a channel composed o…
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
Latif U. Khan, Shashi Raj Pandey, Nguyen H. Tran +4
Recent years have witnessed a rapid proliferation of smart Internet of Things (IoT) devices. IoT devices with intelligence require the use of effective machine learning paradigms.…
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang, Mingzhe Chen, Walid Saad +2
In this paper, the problem of energy efficient transmission and computation resource allocation for federated learning (FL) over wireless communication networks is investigated. In…
A Crowdsourcing Framework for On-Device Federated Learning
Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis +3
Federated learning (FL) rests on the notion of training a global model in a decentralized manner. Under this setting, mobile devices perform computations on their local data before…