activity
20182021
most citedA Crowdsourcing Framework for On-Device Federated Learning

326 citations · 333 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IT2021★ 7 cited

Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing

Do Hyeon Kim, Aunas Manzoor, Madyan Alsenwi +3

In this correspondence, a novel framework is proposed for analyzing data offloading in a multi-access edge computing system. Specifically, a two-phase algorithm, is proposed, inclu…

cs.NI2020

Ruin Theory for Energy-Efficient Resource Allocation in UAV-assisted Cellular Networks

Aunas Manzoor, Kitae Kim, Shashi Raj Pandey +4

Unmanned aerial vehicles (UAVs) can provide an effective solution for improving the coverage, capacity, and the overall performance of terrestrial wireless cellular networks. In pa…

cs.NI2020

Contract-based Scheduling of URLLC Packets in Incumbent EMBB Traffic

Aunas Manzoor, S. M. Ahsan Kazmi, Shashi Raj Pandey +1

Recently, the coexistence of ultra-reliable and low-latency communication (URLLC) and enhanced mobile broadband (eMBB) services on the same licensed spectrum has gained a lot of at…

cs.LG2019★ 326 cited

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…

cs.NI2018

Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks

Aunas Manzoor, Nguyen H. Tran, Walid Saad +3

LTE in the unlicensed band (LTE-U) is a promising solution to overcome the scarcity of the wireless spectrum. However, to reap the benefits of LTE-U, it is essential to maintain it…