activity
20192026
most citedFederated Learning for Internet of Things: A Comprehensive Survey

1.5k citations · 5k across the 42 of their papers we have counts for

collaborators
Showing 2021Show all

13 papers · 1 filter

cs.LG2021★ 17 cited

Federated Learning for Smart Healthcare: A Survey

Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana +5

Recent advances in communication technologies and Internet-of-Medical-Things have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI techniques…

eess.SP2021★ 5 cited

Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +2

COVID-19 has spread rapidly across the globe and become a deadly pandemic. Recently, many artificial intelligence-based approaches have been used for COVID-19 detection, but they o…

cs.CR2021

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen +6

In recent years, blockchain networks have attracted significant attention in many research areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled b…

eess.SP2021★ 184 cited

BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding +1

The healthcare industry has witnessed significant transformations in e-health services by using mobile edge computing (MEC) and blockchain to facilitate healthcare operations. Many…

eess.SP2021

Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +3

The convergence of mobile edge computing (MEC) and blockchain is transforming the current computing services in mobile networks, by offering task offloading solutions with security…

eess.SP2021★ 1.4k cited

6G Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +5

The sixth generation (6G) wireless communication networks are envisioned to revolutionize customer services and applications via the Internet of Things (IoT) towards a future of fu…

cs.CY2021★ 381 cited

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The +2

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and ha…

cs.CR2021★ 221 cited

Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +1

The beginning of 2020 has seen the emergence of coronavirus outbreak caused by a novel virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of COVID-19 s…

cs.LG2021

Federated Learning for Industrial Internet of Things in Future Industries

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +4

The Industrial Internet of Things (IIoT) offers promising opportunities to transform the operation of industrial systems and becomes a key enabler for future industries. Recently,…

cs.CR2021★ 73 cited

Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions

Prabadevi B, N Deepa, Quoc-Viet Pham +5

Blockchain is gaining momentum as a promising technology for many application domains, one of them being the Edge-of- Things (EoT) that is enabled by the integration of edge comput…

eess.SP2021★ 1.5k cited

Federated Learning for Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +3

The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI).…

cs.CR2021★ 2 cited

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham +6

Mobile edge computing (MEC) has been envisioned as a promising paradigm to handle the massive volume of data generated from ubiquitous mobile devices for enabling intelligent servi…

cs.CR2021

A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain

Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding +1

The healthcare industry has witnessed significant transformations in e-health services where Electronic Health Records (EHRs) are transferred to mobile edge clouds to facilitate he…