{"id":22,"date":"2015-09-02T12:24:48","date_gmt":"2015-09-02T16:24:48","guid":{"rendered":"https:\/\/cecas.clemson.edu\/ndcl\/?page_id=22"},"modified":"2026-03-11T18:28:01","modified_gmt":"2026-03-11T22:28:01","slug":"publications","status":"publish","type":"page","link":"https:\/\/cecas.clemson.edu\/ndcl\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
\n

\u00a0Selected Conference Publications<\/strong><\/span><\/h2>\n
\n
    \n
  1. \n
    Chen, Z, Wang Y Q. Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy.\u00a0 International Conference on Machine Learning (ICML)<\/span> 2024.<\/span><\/h5>\n<\/li>\n
  2. \n
    Wang Y Q, Nedic, A. Differentially-Private Distributed Optimization with Guaranteed Optimality.\u00a0 IEEE Conference <\/span><\/span>on Decision and Control<\/span> 2023<\/span>.<\/span><\/h5>\n<\/li>\n
  3. \n
    Gao H, Zhang, C. Ahmad M, Wang Y Q. Privacy-Preserving Average Consensus on Directed Graphs Using Push-Sum.\u00a0 IEEE Conference on Communications and Network Security<\/span> 2018.<\/span><\/h5>\n<\/li>\n
  4. \n
    \u00a0Ruan M, Ahmad M, Wang Y Q. Secure and Privacy-Preserving Average Consensus. The 3rd ACM Workshop on Cyber-Physical Systems Security & Privacy 2017.<\/h5>\n<\/li>\n
  5. \n
    \u00a0Dey S, Wang Y Q, Ayalew B.\u00a0A Distributed Computation Scheme for Real-time Control and Estimation of PDEs. American Control Conference 2016.<\/span><\/h5>\n<\/li>\n
  6. \n
    \u00a0Wang Y Q, Hespanha J, Chakrabortty A. Distributed Monitoring of Wide-Area Oscillations in the Presence of GPS Spoofing Attacks. 2016 IEEE PES General Meeting (Best Papers<\/strong><\/span>).<\/span><\/h5>\n<\/li>\n
  7. \n
    \u00a0Wang Y Q, Nunez F., Doyle F. Mobility induced network evolution speeds up synchronization of wireless sensor networks. American Control Conference 2014.<\/span><\/h5>\n<\/li>\n
  8. \n
    \u00a0Wang Y Q, Hori Y, Hara S, Doyle F. The collective oscillation period of inter-coupled Goodwin oscillators. IEEE Conference on Decision and Control, 2012.<\/span><\/h5>\n<\/li>\n
  9. \n
    \u00a0Nunez F, Wang Y Q, Teel A, Doyle F. Bio-inspired synchronization of non-identical pulse-coupled oscillators subject to a global cue and local interactions. The 4th IFAC Conference on Analysis and Design of Hybrid Systems, 2011.<\/span><\/h5>\n<\/li>\n
  10. \n
    \u00a0Wang Y Q, Doyle F. On synchronization of Kuramoto oscillator networks in the presence of global and local cues. American Control Conference, 2011.<\/span><\/h5>\n<\/li>\n<\/ol>\n
    <\/h5>\n
    \n

    Selected Journal Publications<\/strong><\/span><\/h2>\n
    \n

    * student \u00a0 \u00a0 \u00a0 \u00a0 ** postdoc<\/p>\n

    <\/h5>\n
      \n
    1. \n
      Liu, J.**, Wang, Z., Wang Y Q. Achieving Faster than O(1\/t) Convergence in General Convex Federated Learning<\/span>. Accepted to Transactions on Machine Learning Research, 2026<\/h5>\n<\/li>\n
    2. \n
      Liu, J.**, Wang, Z., Wang Y Q. Leveraging Recursive Methods for Efficient Federated Learning. Accepted to Transactions on Machine Learning Research, 2026<\/h5>\n<\/li>\n
    3. \n
      Chen, Z.**, Egerstedt, M., Wang Y Q. Ensuring Truthfulness in Distributed Aggregative Optimization. Accepted to IEEE Transactions on Automatic Control as a full paper, 2025<\/h5>\n<\/li>\n
    4. \n
      Zhang, K., Wang Y Q., Song Z Y, Li Z. Differentially Private Distributed Model Predictive Control of Linear Discrete-time Systems with Global Constraints. Accepted to IEEE Transactions on Automatic Control, 2025<\/h5>\n<\/li>\n
    5. \n
      Chen, Z.**, Wang Y Q. Local differential privacy for decentralized online stochastic optimization with guaranteed optimality and convergence speed. Accepted to IEEE Transactions on Automatic Control as a full paper, 2024<\/h5>\n<\/li>\n
    6. \n
      Bo, Y.*, Wang Y Q. Quantization avoids saddle points in distributed optimization. Accepted to Proceedings of the National Academy of Sciences (PNAS), 2024<\/h5>\n<\/li>\n
    7. \n
      Chen, Z.**, Wang Y Q. Locally differentially private distributed online learning with guaranteed optimality. Accepted to\u00a0IEEE Transactions on Automatic Control as a full paper, 2024<\/h5>\n<\/li>\n
    8. \n
      Chen, Z.**, Wang Y Q. Locally differentially private gradient tracking for distributed online learning over directed graphs. Accepted to IEEE Transactions on Automatic Control as a full paper, 2024<\/h5>\n<\/li>\n
    9. \n
      Wang Y Q., Nedich A. Robust constrained consensus and inequality-constrained distributed optimization with guaranteed differential privacy and accurate convergence. Accepted to\u00a0IEEE Transactions on Automatic Control as a full paper, 2024<\/h5>\n<\/li>\n
    10. \n
      Wang Y Q., Basar T. Ensuring both almost sure convergence and differential privacy in Nash equilibrium seeking on directed graphs. Accepted to IEEE Transactions on Automatic Control, 2024<\/h5>\n<\/li>\n
    11. \n
      Chen D., Zhang K., Wang Y Q., Yin X., Li Z., Filev D. Communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control. Accepted to IEEE Transactions on Intelligent Vehicles, 2024<\/h5>\n<\/li>\n
    12. \n
      Wang Y Q., Nedich A. Differentially-private distributed algorithms for aggregative games with guaranteed convergence. Accepted to IEEE Transactions on Automatic Control as a full paper, 2023<\/h5>\n<\/li>\n
    13. \n
      Chen\u00a0 D., Hajidavalloo M, Li Z., Chen K.,\u00a0 Wang Y Q. , Jiang L., Wang Y. Deep multi-agent reinforcement learning for highway on-ramp merging in mixed traffic. Accepted to IEEE Transactions on Intelligent Transportation Systems, 2023<\/h5>\n<\/li>\n
    14. \n
      Wang Y Q., Nedich A. Decentralized gradient methods with time-varying uncoordinated stepsizes: convergence analysis and privacy design. Accepted to IEEE Transactions on Automatic Control as a full paper, 2023<\/h5>\n<\/li>\n
    15. \n
      Wang Y Q., Nedich A. Tailoring gradient methods for differentially-private distributed optimization.\u00a0Accepted to IEEE Transactions on Automatic Control as a full paper, 2023<\/h5>\n<\/li>\n
    16. \n
      Xuan Y*, Wang Y Q. Gradient-tracking based differentially private distributed optimization with enhanced optimization accuracy . Accepted to Automatica as a full paper, 2023<\/h5>\n<\/li>\n
    17. \n
      Chen Z**, Anglea T*, Zhang Y,\u00a0 Wang Y Q. Optimal synchronization in pulse-coupled oscillator networks using reinforcement learning. Accepted to PNAS Nexus, 2023<\/h5>\n<\/li>\n
    18. \n
      Gao H*,\u00a0 Wang Y Q., Nedich A. Dynamics based privacy preservation in decentralized optimization. Accepted to Automatica, 2023<\/h5>\n<\/li>\n
    19. \n
      Wang Y Q, Basar T. Decentralized nonconvex optimization with guaranteed privacy and accuracy. Accepted to Automatica as a full paper, 2022<\/h5>\n<\/li>\n
    20. \n
      Wang Y Q, Basar T. Gradient-tracking based distributed optimization with guaranteed optimality under noisy information sharing. Accepted to IEEE Transactions on Automatic Control as a full paper, 2022<\/h5>\n<\/li>\n
    21. \n
      Wang Y Q, Basar T. Quantization enabled privacy protection in decentralized stochastic optimization. Accepted to IEEE Transactions on Automatic Control as a full paper, 2022<\/h5>\n<\/li>\n
    22. \n
      Wang Y Q, Poor V. Decentralized stochastic optimization with inherent privacy protection. Accepted to IEEE Transactions on Automatic Control as a full paper, 2022<\/h5>\n<\/li>\n
    23. \n
      Gao H*, Li, Z, Wang Y Q. Privacy-preserving collaborative estimation for networked vehicles with application to collaborative road profile estimation. Accepted to IEEE Transactions on Intelligent Transportation Systems, 2022<\/h5>\n<\/li>\n
    24. \n
      \u00a0Zhang K, Li, Z, Wang Y Q, Louati, A, Chen J. Privacy-preserving dynamic average consensus via state decomposition: case study on multi-robot formation control. Accepted to Automatica, 2021<\/h5>\n<\/li>\n
    25. \n
      \u00a0Gao H*, Wang Y Q. Algorithm-level confidentiality for average consensus on time-varying directed graphs. Accepted to IEEE Transactions on Network Science and Engineering, 2021<\/h5>\n<\/li>\n
    26. \n
      \u00a0Sanders C*, Wang Y Q. Localizing Spoofing Attacks on Vehicular GPS Using Vehicle-to-Vehicle Communications. Accepted to IEEE Transactions on Vehicular Technology, 2020<\/h5>\n<\/li>\n
    27. \n
      Wang Z*, Wang Y Q. Global Synchronization of Pulse-Coupled Oscillator Networks Under Byzantine Attacks. Accepted to IEEE Transactions on Signal Processing, 2020<\/h5>\n<\/li>\n
    28. \n
      Wang Z*, Wang Y Q. An Attack-Resilient Pulse-Based Synchronization Strategy for General Connected Topologies. Accepted to IEEE Transactions on Automatic Control as a full paper, 2020<\/h5>\n<\/li>\n
    29. \n
      Wang Y Q. Privacy-Preserving Average Consensus via State Decomposition. Accepted to IEEE Transactions on Automatic Control, 2019<\/h5>\n<\/li>\n
    30. \n
      Anglea T*, Wang Y Q. Decentralized Heading Control with Rate Constraints using Pulse-Coupled Oscillators. Accepted to IEEE Transactions on Control of Network Systems, 2019<\/h5>\n<\/li>\n
    31. \n
      Gao H*, Wang Y Q. On the Global Synchronization of Pulse-coupled Oscillators Interacting on Chain and Directed-Tree Graphs. Accepted to Automatica as a full paper, 2019<\/h5>\n<\/li>\n
    32. \n
      Zhang C*, Wang Y Q. Sensor Network Event Localization via Non-convex Non-smooth ADMM and\u00a0Augmented Lagrangian Methods. Accepted to IEEE Transactions on Control of Network Systems, 2019<\/h5>\n<\/li>\n
    33. \n
      Anglea T*, Wang Y Q. Pulse Coupled Synchronization with Guaranteed Clock Continuity. Accepted to IEEE Transactions on Signal Processing, 2019<\/h5>\n<\/li>\n
    34. \n
      \u00a0Zhang C*, Wang Y Q. ADMM based privacy-preserving decentralized optimization. IEEE Transactions on Information Forensics & Security, 2019, 14(3): 565-580<\/h5>\n<\/li>\n
    35. \n
      \u00a0Ruan M*, Gao H*, Wang Y Q. Secure and Privacy-Preserving Consensus. Accepted to IEEE Transactions on Automatic Control as a full paper. 2018<\/h5>\n<\/li>\n
    36. \n
      \u00a0 Wang Z*, Wang Y Q. Attack-Resilient Pulse-Coupled Synchronization. Accepted to IEEE Transactions on Control of Network Systems. 2018<\/h5>\n<\/li>\n
    37. \n
      \u00a0 Zhang C*, Wang Y Q. Enabling Privacy-preservation in Decentralized Optimization. Accepted to IEEE Transactions on Control of Network Systems. 2018<\/h5>\n<\/li>\n
    38. \n
      \u00a0 Wang Z*, Wang Y Q. Pulse-Coupled Oscillators Resilient to Stealthy Attacks. IEEE Transactions on Signal Processing, 2018, 66(12): 3086 – 3099<\/h5>\n<\/li>\n
    39. \n
      \u00a0 Wang Y Q, Hespanha J. Distributed Estimation of Power System Oscillation Modes under Attacks on GPS Clocks. IEEE Transactions on Instrumentation & Measurement, 2018, 67(7): 1626-1637<\/h5>\n<\/li>\n
    40. \n
      \u00a0 Gao H*, Wang Y Q.\u00a0 A Pulse Based Integrated Communication and Control Design for Decentralized Collective Motion Coordination. IEEE Transactions on Automatic Control. 2018, 63(6): 1858-1864<\/span><\/h5>\n<\/li>\n
    41. \n
      \u00a0<\/span>Zhang C*, Wang Y Q.\u00a0 Distributed event localization via Alternating Direction Method of Multipliers. IEEE Transactions on Mobile Computing. 2018, 17(2): 348-361<\/span><\/h5>\n<\/li>\n
    42. \n
      \u00a0<\/span>Gao H*, Wang Y Q.\u00a0 On Phase Response Function based Decentralized Phase Desynchronization. IEEE Transactions on Signal Processing, 2017, 65(21):\u00a05564 – 5577.<\/span><\/h5>\n<\/li>\n
    43. \n
      \u00a0Ferrante F**, Wang Y Q.\u00a0 Robust almost global splay state stabilization of pulse coupled oscillators. IEEE Transactions on Automatic Control, 2017, 62(6): 3083 – 3090.<\/span><\/h5>\n<\/li>\n
    44. \n
      \u00a0<\/span>Wang Y Q, Mosal<\/span><\/span> K*, Nunez F*, Deligeorges<\/span><\/span> S, Doyle F. A kernel module for pulse-coupled time synchronization of sensor networks. Computer Networks, 2017, 127(11):161-172.<\/span><\/h5>\n<\/li>\n
    45. \n
      \u00a0Anglea T*, Wang Y Q. Phase desynchronization: a new approach and theory using pulse-based interaction. IEEE Transactions on Signal Processing, 2017, 65(5):1160-1171.<\/span><\/h5>\n<\/li>\n
    46. \n
      \u00a0<\/span>Nunez F*, Wang Y Q, Doyle F. Synchronization of pulse-coupled oscillators on (strongly) connected graphs. IEEE Transactions on Automatic Control, 2015, 60(6):1710-1715.<\/span><\/h5>\n<\/li>\n
    47. \n
      \u00a0Wang Y Q, Hori Y*, Hara S, Doyle F. Collective oscillation period of inter-coupled biological negative cyclic feedback oscillators. IEEE Transactions on Automatic Control, 2015, 60(5):1392-1397.<\/span><\/h5>\n<\/li>\n
    48. \n
      \u00a0Nunez F*, Wang Y Q, Doyle F. Global synchronization of pulse-coupled oscillators interacting on cycle graphs. Automatica, 2015, 52(2):202-209. <\/span><\/h5>\n<\/li>\n
    49. \n
      \u00a0<\/span>Wang Y Q, Hori Y, Hara S, Doyle F. Inter-cellular delay regulates the collective period of repressively coupled gene regulatory oscillator networks. IEEE Transactions on Automatic Control, 2014, 59(1):211-216.<\/span><\/h5>\n<\/li>\n
    50. \n
      \u00a0 Wang Y Q, Nunez F, Doyle F. Statistical analysis of the pulse-coupled synchronization strategy for wireless sensor networks. IEEE Transactions on Signal Processing, 2013, 61(21):5193-5204.<\/span><\/h5>\n<\/li>\n
    51. \n
      \u00a0Wang Y Q, Doyle F. The influence of global cues and local coupling on the rate of synchronization in the presence of time delays. Automatica, 2013, 49(6):1838-1845.<\/span><\/h5>\n<\/li>\n
    52. \n
      \u00a0Wang Y Q, Doyle F. Exponential Synchronization Rate of Kuramoto Oscillators in the Presence of a Pacemaker. IEEE Transactions on Automatic Control, 2013, 58(4)9889-9894.<\/span><\/h5>\n<\/li>\n
    53. \n
      \u00a0Wang Y Q, Nunez F, Doyle F. Increasing sync rate of pulse-coupled oscillators via phase response function design: theory and application to wireless networks. IEEE Transactions on Control Systems Technology, 2013, 21(4):1455-1462.<\/span><\/h5>\n<\/li>\n
    54. \n
      \u00a0Wang Y Q, Nunez F, Doyle F. Energy-efficient pulse-coupled synchronization strategy design for wireless sensor networks through reduced idle listening. IEEE Transactions on Signal Processing, 2012, 60(10):5293-5306.<\/span><\/h5>\n<\/li>\n
    55. \n
      \u00a0Wang Y Q, Doyle F. Optimal phase response functions for fast pulse-coupled synchronization in wireless sensor networks. IEEE Transactions on Signal Processing, 2012, 60(10):5583-5588. <\/span><\/h5>\n<\/li>\n
    56. \n
      \u00a0<\/span>Wang Y Q, Doyle F. On influences of global and local cues on the rate of synchronization of oscillator networks. Automatica, 2011, 47(6):1236-1242.<\/h5>\n<\/li>\n
    57. \n
      \u00a0Wang Y Q, Ye H, Ding S X, Wang G Z, Zhou D H. Residual generation and evaluation of networked control systems subject to random packet dropout. Automatica, 2009, 45(10):2427-2434.<\/span><\/h5>\n<\/li>\n
    58. \n
      \u00a0Cheng Y, H. Ye, Wang Y Q, Zhou DH. Unbiased minimum-variance state estimation for linear systems with unknown input. Automatica, 2009, 45(2):485-491.<\/span><\/h5>\n<\/li>\n
    59. \n
      \u00a0Wang Y Q, Ding S X, Ye H, Wang G Z. A new fault detection scheme for networked control systems subject to uncertain time varying delay. IEEE Transactions on Signal Processing, 2008, 56(10):5258-5268.<\/span><\/h5>\n
      <\/h5>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      \u00a0Selected Conference Publications Chen, Z, Wang Y Q. Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy.\u00a0 International Conference on Machine Learning (ICML) 2024. Wang Y Q, Nedic, A. Differentially-Private Distributed Optimization with Guaranteed Optimality.\u00a0 IEEE Conference on Decision and Control 2023. Gao H, Zhang, C. Ahmad M, Wang Y Q. Privacy-Preserving Average … <\/p>\n

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