Selected Publications

(For a full list see below or go to Google Scholar)

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

We introduce LyCORIS, an open-source library for parameter-efficient Stable Diffusion fine-tuning, propose a comprehensive evaluation framework, and perform extensive experiments to compare different methods.

S. Yeh, Y. Hsieh, Z. Gao, B. Yang, G. Oh, and Y. Gong

The International Conference on Learning Representations (ICLR) 2024. (Acceptance ratio: 31%)

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

The paper presents FedCR, a new approach for federated learning on edge devices, which speeds up training by overlapping computing and communication tasks. It addresses challenges like data heterogeneity and device variability, resulting in faster, more accurate learning with reduced memory requirements.

R. Chen, Q. Wan, P. Prakash, L. Zhang, X. Yuan, Y. Gong, X. Fu, and M. Pan

International Conference on Computer Vision (ICCV) 2023. (Acceptance ratio: 26.15%)

Hybrid Local SGD for Federated Learning with Heterogeneous Communications

In light of both device-to-device (D2D) and device-to-server (D2S) cooperation opportunities in modern communication networks, this paper proposes a new federated learning approach where devices are grouped into a set of disjoint clusters with high D2D communication bandwidth. The new approach enables us to largely reduce the training latency of federated learning.

Y Guo, Y Sun, R Hu, Y Gong

The International Conference on Learning Representations (ICLR) 2022. (Spotlight, acceptance ratio: 5%)

Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization

This work jointly investigates two ciritical concerns of federated learning, privacy and communication efficiency, and utilizes sparsification as a tool to achieve differential privacy and communication efficiency at the same time. To help reduce the privacy cost, we also integrates acceleration tecniques to offset the negative impact of sparsification on convergence rate.

R Hu, Y Gong, Y Guo

IJCAI 2021. (Acceptance ratio: 13.9%)

 

Full List

Peer-Reviewed Journal Articles

  1. Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
    R. Hu, Y. Gong, and Y. Guo
    IEEE Transactions on Mobile Computing (TMC) (2023).

  2. Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy
    Z. Zhang, Y. Guo, Y. Fang, and Y. Gong
    IEEE Transactions on Dependable and Secure Computing (TDSC) (2023).

  3. Federated and Online Dynamic Spectrum Access for Mobile Secondary Users
    X Dong, Z You, X Liu, Y Guo, Y Shen, and Y Gong
    IEEE Transactions on Wireless Communications (TWC) (2023).

  4. Applications of Federated Learning in Mobile Health: Scoping Review
    T. Wang, Y. Du, Y. Gong, K. Choo, and Y. Guo
    Journal of Medical Internet Research (JMIR) 2023.

  5. Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking
    Z Zhang, Z Gao, Y Guo, and Y Gong
    IEEE Transactions on Mobile Computing (TMC) (2022).

  6. Constructing Mobile Crowdsourced COVID-19 Vulnerability Map with Geo-Indistinguishability
    R Chen, L Li, M Ying, Y Gong, Y Guo, T Ohtsuki, and M Pan
    IEEE Internet of Things Journal (IoT-J) (2022).

  7. Emerging Artificial Intelligence-Empowered Mobile Health: A scoping review
    P. Bhatt, J. Liu, Y. Gong, J. Wang and Y. Guo
    Journal of Medical Internet Research (JMIR) mHealth and uHealth (2022).

  8. PRAM: a Practical Sybil-Proof Auction Mechanism for Dynamic Spectrum Access with Untruthful Attackers
    X Dong, Y Zhang, Y Guo, Y Gong, Y Shen, and J Ma
    IEEE Transactions on Mobile Computing (TMC) (2021).

  9. Concentrated Differentially Private Federated Learning with Performance Analysis
    R Hu, Y Guo, and Y Gong
    IEEE Open Journal of the Computer Society, pp. 276-289 (2021).

  10. Personalized Federated Learning with Differential Privacy
    R Hu, Y Guo, H Li, Q Pei, and Y Gong
    IEEE Internet of Things Journal (IoT-J) 7, 10 (2020).

  11. Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing
    Z Yu, Y Gong, S Gong, Y Guo
    IEEE Internet of Things Journal (IoT-J) 7, 4 (2020).

  12. DP-ADMM: ADMM-based Distributed Learning with Differential Privacy
    Z Huang, R Hu, Y Guo, E Chan-Tin, and Y Gong
    IEEE Transactions on Information Forensics & Security (TIFS), vol. 15, pp. 1002-1012, (2019).

  13. SAFE: Secure Appliance Scheduling for Flexible and Efficient Energy Consumption for Smart Home IoT
    S Errapotu, J Wang, Y Gong, J Cho, M Pan, and Z Han
    IEEE Internet of Things Journal (IoT-J), 5, 6 (2018).

  14. Phased Groupwise Face Alignment
    G Zhang, H Qin, Y Ke, J Chen, Y Gong
    IEEE Access, vol. 8, pp. 62415-62422 (2020).

  15. Joint Alignment of Image Faces
    G Zhang, L Pan, J Chen, Y Gong, F Liu
    IEEE Access, vol. 8, pp. 114884-114891 (2020).

  16. Efficient, Effective, and Realistic Website Fingerprinting Mitigation
    W Cui, J Yu, Y Gong, E Chan-Tin
    EAI Transactions on Security and Safety, vol. 6, no. 20 (2019).

  17. Data-Driven Optimization Based Primary Users’ Operational Privacy Preservation
    J Wang, S Errapotu, Y Gong, L Qian, R Jä{"a}ntti, M Pan, and Z Han
    IEEE Transactions on Cognitive Communications and Networking, vol. 4, no. 2, pp. 357-367 (2018).

  18. Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets
    Y Guo, M Pan, Y Gong
    IEEE Transactions on Cloud Computing (2018).

  19. Protecting Operation-Time Privacy of Primary Users in Downlink Cognitive Two-Tier Networks
    X Dong, Y Gong, J Ma, Y Guo
    IEEE Transactions on Vehicular Technology (TVT), vol. 67, no. 7, pp. 6561-6572 (2018).

  20. Protecting Location Privacy for Task Allocation in Ad-Hoc Mobile Cloud Computing
    Y Gong, C Zhang, Y Fang, J Sun
    IEEE Transactions on Emerging Topics in Computing (TETC), vol. 6, no. 1, pp. 110-121 (2018).

  21. Dynamic Multi-Tenant Coordination for Sustainable Colocation Data Centers
    Y Guo, M Pan, Y Gong, Y Fang
    IEEE Transactions on Cloud Computing, vol. 7, no. 3 (2019).

  22. Optimal Task Recommendation for Mobile Crowdsourcing with Privacy Control
    Y Gong, L Wei, Y Guo, C Zhang, Y Fang
    IEEE Internet of Things Journal, vol. 3, no. 5, pp. 745-756 (2016).

  23. Private Data Analytics on Biomedical Sensing Data Via Distributed Computation
    Y Gong, Y Fang, Y Guo
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 13, no. 3, pp. 431-444 (2016).

  24. A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid
    Y Gong, Y Cai, Y Guo, Y Fang
    IEEE Transactions on Smart Grid, vol. 7, no. 3 (2016).

  25. Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage
    Y Guo, Y Gong, Y Fang, P Khargonekar, X Geng
    IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 25, no. 8 (2014).

Conference Papers

  1. Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
    S. Yeh, Y. Hsieh, Z. Gao, B. Yang, G. Oh, and Y. Gong
    The International Conference on Learning Representations (ICLR) 2024. (Acceptance ratio: 31%)

  2. Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization
    R. Chen, Q. Wan, P. Prakash, L. Zhang, X. Yuan, Y. Gong, X. Fu, and M. Pan
    International Conference on Computer Vision (ICCV) 2023. (Acceptance ratio: 26.15%)

  3. One Node Per User: Node-Level Federated Learning for Graph Neural Networks
    Z. Gao, Y. Gong, and Y. Guo,
    NeurIPS Workshop on New Frontiers in Graph Learning 2023

  4. Quantum Assisted Scheduling Algorithm for Federated Learning in Distributed Networks
    X Wei, L Fan, Y Guo, Y Gong, Z Han and Y Wang,
    International Conference on Computer Communications and Network (ICCCN 2023)

  5. Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare
    T Wang, K Zhang, R Choo, J Cai, Y Gong, and Y Guo
    the 1st International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications, EBAIC 2023

  6. Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation
    Y Guo, R Hu, Y Gong
    IEEE Conference on Communications and Network Security (CNS) 2022

  7. Hybrid Local SGD for Federated Learning with Heterogeneous Communications
    Y Guo, Y Sun, R Hu, Y Gong
    The International Conference on Learning Representations (ICLR) 2022. (Spotlight, acceptance ratio: 5%)

  8. Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication
    R Hu, Y. Guo, Y. Gong
    IEEE International Conference on Communications (ICC) 2022

  9. Towards A Model For Inclusive Healthcare Access Post COVID-19
    P Bhatt, O. Akanfe, Y. Guo, Y. Gong
    Hawaii International Conference on System Sciences 2022.

  10. Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
    R Hu, Y Gong, Y Guo
    IJCAI 2021. (Acceptance ratio: 13.9%)

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

  12. Geo-Indistinguishability for Crowdsourced-Based Radio Environment Map Construction
    S Amin, L Li, Y Guo, M Pan, Y Gong
    IEEE GLOBECOM 2020.

  13. Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning
    R Hu, Y Gong
    IEEE GLOBECOM 2020.

  14. Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
    Z Gao, R Hu, Y Gong
    IEEE GLOBECOM 2020.

  15. COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing
    R Chen, L Li, J Chen, R Hou, Y Gong, Y Guo, M Pan
    IEEE GLOBECOM, Taipei, Taiwan, Dec. 7-11, 2020.

  16. Privacy-Preserving Personalized Federated Learning
    R Hu, Y, Guo, H. Li, Q. Pei, Y. Gong
    IEEE International Conference on Communications (ICC) 2020.

  17. Targeted Poisoning Attacks on Social Recommender Systems
    R Hu, Y Guo, M Pan, Y Gong
    IEEE GLOBECOM 2019.

  18. Robust Truth Discovery Against Data Poisoning in Mobile Crowdsensing
    Z Huang, M Pan, Y Gong
    IEEE GLOBECOM, Hawaii, Dec. 9-13, 2019.

  19. Dynamic Cache Placement, Node Association, and Power Allocation in Fog Aided Networks
    R Li, L Wang, Y Gong, M Song, M Pan, Z Han
    IEEE GLOBECOM, Hawaii, Dec. 9-13, 2019.

  20. Stochastic ADMM Based Distributed Machine Learning with Differential Privacy
    J Ding, S Errapotu, H Zhang, Y Gong, M Pan and Z Han
    EAI SecureComm 2019. (Acceptance ratio: 25.5%)

  21. Practical Collaborative Learning for Crowdsensing in the Internet of Things with Differential Privacy
    Y Guo, Y Gong
    IEEE Conference on Communications and Network Security (CNS) 2018. (Acceptance ratio: 27.8%)

  22. Mitigating Traffic Analysis Attack in Smartphones with Edge Network Assistance
    Y Hu, X Li, J Liu, H Ding, Y Gong, Y Fang
    IEEE International Conference on Communications (ICC) 2018.

  23. A Cloud-Based Secure and Privacy-Preserving Clustering Analysis of Infectious Disease
    J Liu, Y Hu, H Yue, Y Gong, Y Fang
    IEEE Symposium on Privacy-Aware Computing (PAC), 2018

  24. Realistic Cover Traffic to Mitigate Website Fingerprinting Attacks
    W Cui, J Yu, Y Gong, E Chan-Tin
    IEEE ICDCS WKSHPS, Vienna, Austria, July 2-5, 2018.

  25. Secret Dispersion: Secure Data Delivery in Cyber Physical System
    R Hu, Y Gong
    IEEE CNS (Poster), Beijing, China, May 30 - June 1, 2018.

  26. A Stochastic Game Approach to Cyber-Physical Security with Applications to Smart Grid
    Y Guo, Y Gong, L. Njilla, C. Kamhoua
    IEEE INFOCOM WKSHPS, Honolulu, HI, April 15-19, 2018.

  27. Primary Users’ Operational Privacy Preservation via Data-Driven Optimization [Best Paper Award]
    J Wang, Y Gong, L Qian, R Jantti, M Pan, Z Han
    IEEE GLOBECOM 2017.

  28. Differential Location Privacy for Crowdsourced Spectrum Sensing
    Z Huang, Y Gong
    IEEE Conference on Communications and Network Security (CNS) 2017. (Acceptance ratio: 29.9%)

  29. Privacy-Preserving Genome-Aware Remote Health Monitoring
    Y Gong, C Zhang, Y Hu, and Y Fang
    IEEE GLOBECOM, Washington, D.C., December 4-8, 2016.

  30. A Firewall of Two Clouds: Preserving Outsourced Firewall Policy Confidentiality with Heterogeneity
    L Wei, C Zhang, Y Gong, Y Fang, and K Chen
    IEEE GLOBECOM, Washington, D.C., December 4-8, 2016.

  31. Privacy-Preserving Collaborative Learning for Mobile Health Monitoring
    Y Gong, Y Fang, and Y Guo,
    IEEE GLOBECOM, San Diego, CA, December 6-10, 2015.

  32. A Privacy-Preserving Task Recommendation Framework for Mobile Crowdsourcing
    Y Gong, Y Guo, and Y Fang
    IEEE GLOBECOM, Austin, TX, December 8-12, 2014.

  33. Stochastic Minimization of Imbalance Cost for a Virtual Power Plant in Electricity Markets
    Y Guo, Y Gong, Y Fang, and P Khargonekar
    IEEE ISGT, Washington, DC, February 19-22, 2014.

  34. Optimal Power and Workload Management for Green Data Centers with Thermal Storage
    Y Guo, Y Gong, Y Fang, P Khargonekar, X Geng
    IEEE GLOBECOM, Atlanta, GA, December 9-13 (2013).

  35. Quasi-Convex Optimization of Metrics in Biometric Score Fusion
    Y Gong, J Chen, G Su
    ICIG, Hefei, China, August 12-15, 2011.

Preprints

  1. Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation
    Z. Huang and Y. Gong
    arXiv preprint arXiv:2005.07890 (2020).