Yanmin Gong

Orcid: 0000-0002-1761-2834

Affiliations:
  • University of Texas at San Antonio, TX, USA
  • Oklahoma State University Stillwater, OK, USA (former)
  • University of Florida Gainesville, FL, USA (PhD 2016)
  • Tsinghua University, Beijing, China (former)


According to our database1, Yanmin Gong authored at least 67 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Federated and Online Dynamic Spectrum Access for Mobile Secondary Users.
IEEE Trans. Wirel. Commun., January, 2024

Scalable and Low-Latency Federated Learning With Cooperative Mobile Edge Networking.
IEEE Trans. Mob. Comput., January, 2024

2023
PRAM: A Practical Sybil-Proof Auction Mechanism for Dynamic Spectrum Access With Untruthful Attackers.
IEEE Trans. Mob. Comput., 2023

Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks.
CoRR, 2023

Quantum-Assisted Joint Caching and Power Allocation for Integrated Satellite-Terrestrial Networks.
CoRR, 2023

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation.
CoRR, 2023

REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices.
CoRR, 2023

Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy.
CoRR, 2023

Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Quantum Assisted Scheduling Algorithm for Federated Learning in Distributed Networks.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability.
IEEE Internet Things J., 2022

Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy.
CoRR, 2022

Hybrid Local SGD for Federated Learning with Heterogeneous Communications.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication.
Proceedings of the IEEE International Conference on Communications, 2022

Towards a Model for Inclusive Healthcare Access post COVID-19.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

2021
Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets.
IEEE Trans. Cloud Comput., 2021

Concentrated Differentially Private Federated Learning With Performance Analysis.
IEEE Open J. Comput. Soc., 2021

Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Discounting Lives: Analyzing the causes of Hispanic Adversity raging in the Healthcare sector during Covid-19 using Cumulative Inequality Theory.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020
DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2020

Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing.
IEEE Internet Things J., 2020

Personalized Federated Learning With Differential Privacy.
IEEE Internet Things J., 2020

Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning.
CoRR, 2020

Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation.
CoRR, 2020

CPFed: Communication-Efficient and Privacy-Preserving Federated Learning.
CoRR, 2020

Differentially Private Federated Learning for Resource-Constrained Internet of Things.
CoRR, 2020

Phased Groupwise Face Alignment.
IEEE Access, 2020

Joint Alignment of Image Faces.
IEEE Access, 2020

Privacy-Preserving Personalized Federated Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2020

Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing.
Proceedings of the IEEE Global Communications Conference, 2020

COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing.
Proceedings of the IEEE Global Communications Conference, 2020

Geo-Indistinguishablility for Crowdsourced-Based Radio Environment Map Construction.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Dynamic Multi-Tenant Coordination for Sustainable Colocation Data Centers.
IEEE Trans. Cloud Comput., 2019

Efficient, Effective, and Realistic Website Fingerprinting Mitigation.
EAI Endorsed Trans. Security Safety, 2019

Optimal Differentially Private ADMM for Distributed Machine Learning.
CoRR, 2019

Stochastic ADMM Based Distributed Machine Learning with Differential Privacy.
Proceedings of the Security and Privacy in Communication Networks, 2019

Dynamic Cache Placement, Node Association, and Power Allocation in Fog Aided Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Robust Truth Discovery against Data Poisoning in Mobile Crowdsensing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Targeted Poisoning Attacks on Social Recommender Systems.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Protecting Operation-Time Privacy of Primary Users in Downlink Cognitive Two-Tier Networks.
IEEE Trans. Veh. Technol., 2018

Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing.
IEEE Trans. Emerg. Top. Comput., 2018

Data-Driven Optimization Based Primary Users' Operational Privacy Preservation.
IEEE Trans. Cogn. Commun. Netw., 2018

SAFE: Secure Appliance Scheduling for Flexible and Efficient Energy Consumption for Smart Home IoT.
IEEE Internet Things J., 2018

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy.
CoRR, 2018

A Cloud-Based Secure and Privacy-Preserving Clustering Analysis of Infectious Disease.
Proceedings of the 2018 IEEE Symposium on Privacy-Aware Computing, 2018

A stochastic game approach to cyber-physical security with applications to smart grid.
Proceedings of the IEEE INFOCOM 2018, 2018

Realistic Cover Traffic to Mitigate Website Fingerprinting Attacks.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Mitigating Traffic Analysis Attack in Smartphones with Edge Network Assistance.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Secret Dispersion: Secure Data Delivery in Cyber Physical System.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

Practical Collaborative Learning for Crowdsensing in the Internet of Things with Differential Privacy.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017
Primary Users' Operational Privacy Preservation via Data-Driven Optimization.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Differential location privacy for crowdsourced spectrum sensing.
Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017

2016
A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid.
IEEE Trans. Smart Grid, 2016

Private Data Analytics on Biomedical Sensing Data via Distributed Computation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Optimal Task Recommendation for Mobile Crowdsourcing With Privacy Control.
IEEE Internet Things J., 2016

A Firewall of Two Clouds: Preserving Outsourced Firewall Policy Confidentiality with Heterogeneity.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Privacy-Preserving Genome-Aware Remote Health Monitoring.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Privacy-Preserving Collaborative Learning for Mobile Health Monitoring.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage.
IEEE Trans. Parallel Distributed Syst., 2014

Stochastic minimization of imbalance cost for a virtual power plant in electricity markets.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

A privacy-preserving task recommendation framework for mobile crowdsourcing.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Optimal power and workload management for green data centers with thermal storage.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2011
Quasi-convex Optimization of Metrics in Biometric Score Fusion.
Proceedings of the Sixth International Conference on Image and Graphics, 2011


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