Yanmin Gong

IEEE Trans. Veh. Technol., August, 2024

Federated Learning With Sparsified Model Perturbation: Improving Accuracy Under Client-Level Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., August, 2024

Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare.

[BibT_eX]

[DOI]

Kim-Kwang Raymond Choo

J. Heal. Informatics Res., June, 2024

Federated and Online Dynamic Spectrum Access for Mobile Secondary Users.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., January, 2024

Scalable and Low-Latency Federated Learning With Cooperative Mobile Edge Networking.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., January, 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2024

Hybrid Quantum-Classical Benders' Decomposition for Federated Learning Scheduling in Distributed Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2024

Communication and Energy Efficient Wireless Federated Learning With Intrinsic Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning.

[BibT_eX]

[DOI]

CoRR, 2024

FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices.

[BibT_eX]

[DOI]

CoRR, 2024

One Node Per User: Node-Level Federated Learning for Graph Neural Networks.

[BibT_eX]

[DOI]

Zhidong Gao

CoRR, 2024

Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning.

[BibT_eX]

[DOI]

CoRR, 2024

DP<sup>2</sup>-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization.

[BibT_eX]

[DOI]

Zhenxiao Zhang

CoRR, 2024

Efficient Entanglement Routing for Satellite-Aerial-Terrestrial Quantum Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Semi-Supervised Federated Learning for Assessing Building Damage from Satellite Imagery.

[BibT_eX]

[DOI]

Yu Zhang

Proceedings of the IEEE International Conference on Communications, 2024

2023

PRAM: A Practical Sybil-Proof Auction Mechanism for Dynamic Spectrum Access With Untruthful Attackers.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Quantum Assisted Scheduling Algorithm for Federated Learning in Distributed Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Hybrid Local SGD for Federated Learning with Heterogeneous Communications.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Towards a Model for Inclusive Healthcare Access post COVID-19.

[BibT_eX]

[DOI]

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

2021

Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets.

[BibT_eX]

[DOI]

Miao Pan

IEEE Trans. Cloud Comput., 2021

Concentrated Differentially Private Federated Learning With Performance Analysis.

[BibT_eX]

[DOI]

IEEE Open J. Comput. Soc., 2021

Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Paras Bhatt

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Personalized Federated Learning With Differential Privacy.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Zonghao Huang

CoRR, 2020

CPFed: Communication-Efficient and Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Phased Groupwise Face Alignment.

[BibT_eX]

[DOI]

IEEE Access, 2020

Joint Alignment of Image Faces.

[BibT_eX]

[DOI]

IEEE Access, 2020

Privacy-Preserving Personalized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing.

[BibT_eX]

[DOI]

Zhidong Gao

Proceedings of the IEEE Global Communications Conference, 2020

COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

Geo-Indistinguishablility for Crowdsourced-Based Radio Environment Map Construction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Dynamic Multi-Tenant Coordination for Sustainable Colocation Data Centers.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2019

Efficient, Effective, and Realistic Website Fingerprinting Mitigation.

[BibT_eX]

[DOI]

EAI Endorsed Trans. Security Safety, 2019

Optimal Differentially Private ADMM for Distributed Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic ADMM Based Distributed Machine Learning with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2019

Dynamic Cache Placement, Node Association, and Power Allocation in Fog Aided Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Robust Truth Discovery against Data Poisoning in Mobile Crowdsensing.

[BibT_eX]

[DOI]

Zonghao Huang

Miao Pan

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Targeted Poisoning Attacks on Social Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Protecting Operation-Time Privacy of Primary Users in Downlink Cognitive Two-Tier Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2018

Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2018

Data-Driven Optimization Based Primary Users' Operational Privacy Preservation.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2018

SAFE: Secure Appliance Scheduling for Flexible and Efficient Energy Consumption for Smart Home IoT.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2018

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2018

A Cloud-Based Secure and Privacy-Preserving Clustering Analysis of Infectious Disease.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Symposium on Privacy-Aware Computing, 2018

A stochastic game approach to cyber-physical security with applications to smart grid.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2018, 2018

Realistic Cover Traffic to Mitigate Website Fingerprinting Attacks.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Mitigating Traffic Analysis Attack in Smartphones with Edge Network Assistance.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Secret Dispersion: Secure Data Delivery in Cyber Physical System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017

Primary Users' Operational Privacy Preservation via Data-Driven Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Differential location privacy for crowdsourced spectrum sensing.

[BibT_eX]

[DOI]

Zonghao Huang

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.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2016

Private Data Analytics on Biomedical Sensing Data via Distributed Computation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Optimal Task Recommendation for Mobile Crowdsourcing With Privacy Control.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2016

A Firewall of Two Clouds: Preserving Outsourced Firewall Policy Confidentiality with Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Privacy-Preserving Genome-Aware Remote Health Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

Privacy-Preserving Collaborative Learning for Mobile Health Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014

Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage.

[BibT_eX]

[DOI]

Pramod P. Khargonekar

Xiaojun Geng

IEEE Trans. Parallel Distributed Syst., 2014

Stochastic minimization of imbalance cost for a virtual power plant in electricity markets.

[BibT_eX]

[DOI]

Pramod P. Khargonekar

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

A privacy-preserving task recommendation framework for mobile crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2014

2013

Optimal power and workload management for green data centers with thermal storage.

[BibT_eX]

[DOI]

Pramod P. Khargonekar

Xiaojun Geng

Proceedings of the 2013 IEEE Global Communications Conference, 2013

2011

Quasi-convex Optimization of Metrics in Biometric Score Fusion.

[BibT_eX]

[DOI]