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20052023
most citedMulti-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

127 citations · 559 across the 76 of their papers we have counts for

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Showing 2020Show all

17 papers · 1 filter

eess.SP2020

Power Allocation for Fingerprint-Based PHY-Layer Authentication with mmWave UAV Networks

Sung Joon Maeng, Yavuz Yapıcı, İsmail Güvenç +2

Physical layer security (PLS) techniques can help to protect wireless networks from eavesdropper attacks. In this paper, we consider the authentication technique that uses fingerpr…

cs.IT2020★ 3 cited

Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems

Nhan Thanh Nguyen, Kyungchun Lee, Huaiyu Dai

In this work, we investigate hybrid analog-digital beamforming (HBF) architectures for uplink cell-free (CF) millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO)…

cs.LG2020★ 4 cited

A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions

Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton +2

The combinatorial auction (CA) is an efficient mechanism for resource allocation in different fields, including cloud computing. It can obtain high economic efficiency and user fle…

cs.NI2020★ 127 cited

Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton +4

Federated learning has generated significant interest, with nearly all works focused on a "star" topology where nodes/devices are each connected to a central server. We migrate awa…

cs.DC2020

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal +2

Machine learning (ML) tasks are becoming ubiquitous in today's network applications. Federated learning has emerged recently as a technique for training ML models at the network ed…

eess.SP2020

Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming

Ali Rahmati, Seyyedali Hosseinalipour, Ismail Guvenc +2

Deployment of unmanned aerial vehicles (UAVs) is recently getting significant attention due to a variety of practical use cases, such as surveillance, data gathering, and commodity…

cs.DC2020★ 3 cited

A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks

Zhibin Gao, Minghui LiWang, Seyyedali Hosseinalipour +2

Vehicular cloud computing has emerged as a promising solution to fulfill users' demands on processing computation-intensive applications in modern driving environments. Such applic…

cs.DC2020★ 4 cited

Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV

Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour +2

Software-defined internet of vehicles (SDIoV) has emerged as a promising paradigm to realize flexible and comprehensive resource management, for next generation automobile transpor…

cs.LG2020★ 4 cited

Communication Efficient Federated Learning with Energy Awareness over Wireless Networks

Richeng Jin, Xiaofan He, Huaiyu Dai

In federated learning (FL), reducing the communication overhead is one of the most critical challenges since the parameter server and the mobile devices share the training paramete…

eess.SY2020★ 1 cited

Energy-Aware Stochastic UAV-Assisted Surveillance

Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun +1

With the ease of deployment, capabilities of evading the jammers and obscuring their existence, unmanned aerial vehicles (UAVs) are one of the most suitable candidates to perform s…

cs.CV2020★ 7 cited

GeoDA: a geometric framework for black-box adversarial attacks

Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard +1

Adversarial examples are known as carefully perturbed images fooling image classifiers. We propose a geometric framework to generate adversarial examples in one of the most challen…

cs.IT2020★ 3 cited

Accelerating Generalized Benders Decomposition for Wireless Resource Allocation

Mengyuan Lee, Ning Ma, Guanding Yu +1

Generalized Benders decomposition (GBD) is a globally optimal algorithm for mixed integer nonlinear programming (MINLP) problems, which are NP-hard and can be widely found in the a…

eess.SP2020★ 4 cited

Optimal Jammer Placement in UAV-assisted Relay Networks

Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai

We consider the relaying application of unmanned aerial vehicles (UAVs), in which UAVs are placed between two transceivers (TRs) to increase the throughput of the system. Instead o…

eess.SP2020

Precoder Design for mmWave UAV Communications with Physical Layer Security

Sung Joon Maeng, Yavuz Yapıcı, İsmail Güvenç +2

The integration of unmanned aerial vehicles (UAVs) into the terrestrial cellular networks is envisioned as one key technology for next-generation wireless communications. In this w…

eess.SP2020★ 2 cited

Interference Analysis and Mitigation for Massive Access Aerial IoT Considering 3D Antenna Patterns

Sung Joon Maeng, Mrugen Deshmukh, İsmail Güvenç +2

Due to dense deployments of Internet of things (IoT) networks, interference management becomes a critical challenge. With the proliferation of aerial IoT devices, such as unmanned…

cs.LG2020★ 19 cited

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees

Richeng Jin, Yufan Huang, Xiaofan He +2

Federated learning (FL) has emerged as a prominent distributed learning paradigm. FL entails some pressing needs for developing novel parameter estimation approaches with theoretic…

cs.IT2020

Physical Layer Security for NOMA Transmission in mmWave Drone Networks

Yavuz Yapici, Nadisanka Rupasinghe, Ismail Guvenc +2

The non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) transmission enable the unmanned aerial vehicle (UAV) assisted wireless networks to provide broadband connect…