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Publications

Publications (Note: Student co-authors (co-)supervised by me are underlined)


Journal Papers

  • G. Liao, B. Luo, Y. Feng, M. Zhang*, X. Chen, “Optimal Mechanism Design for Heterogeneous Client Sampling in Federated Learning” accepted in IEEE Transactions on Mobile Computing (TMC), 2024
  • B. Luo, W. Xiao, S. Wang, J. Huang, L. Tassiulas, “Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks,”accepted in IEEE Transactions on Mobile Computing (TMC), 2024.
  • B. Luo, P. Han, P. Sun, X. Ouyang, J. Huang and N. Ding, “Optimization Design for Federated Learning in Heterogeneous 6G Networks,” in IEEE Network, vol. 37, no. 2, pp. 38-43, March/April 2023
  • B. Luo, PL. Yeoh, R. Schober and B. Krongold, “Distributed Energy Beamforming for Wireless Power Transfer over Frequency-Selective Fading Channels,” in IEEE Transactions on Green Communications and Networking, vol. 6, no. 4, pp. 2100-2114, Dec. 2022.
  • B. Luo, PL. Yeoh, and B. Krongold, “Structural Properties of Optimal Power Allocation for DAS-OFDM under Joint Total and Individual Power Constraints,” IEEE Transactions on Green Communications and Networking, vol. 6, no. 1, pp. 530-542, March 2022.
  • B. Luo, X. Li, S. Wang, J. Huang and L. Tassiulas, “Cost-Effective Federated Learning in Mobile Edge Networks,” in IEEE Journal on Selected Areas in Communications, vol. 39, no. 12, pp. 3606-3621, Dec. 2021.
  • B. Luo, PL. Yeoh, and B. Krongold, “Optimal Co-Phasing Power Allocation and Capacity of Coordinated OFDM Transmission with Total and Individual Power Constraints,”IEEE Transactions on Communications, vol. 67, no. 10, pp. 7103-7113, Oct. 2019.
  • B. Luo, Q. Cui, and X. Tao, “Optimal Joint Water-Filling for Coordinated Transmission over Frequency-Selective Fading Channels,”IEEE Communication Letters, vol.15, no.2, pp.190-192, Feb. 2011.
  • B. Luo, Q. Cui, X. Tao, and P. Zhang, “Closed Form Solutions of Joint Water-Filling for Coordinated Transmission,”IEICE Transactions on Communications, vol. 93-B, no. 12, pp. 3461-3468, Jan. 2010.
  • Q. Cui, B. Luo, X. Huang and A.A. Dowhuszko, “Closed Form Solution for Minimizing Power Consumption in Coordinated Transmissions,”EURASIP Journal on Wireless Communications and Networking, vol. 2012, no. 122, Mar. 2012.
  • Q. Cui, X. Huang, B. Luo and X. Tao, “Capacity Analysis and Optimal Power Allocation for Coordinated MIMO-OFDM Systems,”Science China Information Sciences, vol. 55, no. 6, pp.1372-1378, Jun. 2012.

Conference Papers (peer-reviewed, including workshops, posters and demos)

  • S. Wang, B. Luo, M. Tang, “Tackling System-Induced Bias in Federated Learning: A Pricing-based Incentive Mechanism,” Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Jul. 2024.
  • J. Shao, T. Lin, X. Cao, B. Luo, “Federated Unlearning: a Perspective of Stability and Fairness,” in Privacy Regulation and Protection in Machine Learning, in Conjunction with ICLR 2024 (PML-ICLR’ 24), May, 2024
  • W. Zhu, J. Jia, B. Luo, X. Lin,“Federated Unlearning with Multiple Client Partitions” in IEEE International Conference on Communications (ICC) Jun. 2024
  • J. Geng, Y. Hou, X. Tao, J. Wang, B. Luo, “Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling,”in IEEE International Conference on Communications (ICC), Jun. 2024
  • S. He, B. Tang, B. Zhang, J. Shao, X. Ouyang, D. Nata, B. Luo, “Demo: FedKit: Enabling Cross-Platform Federated Learning for Android and iOS,” in IEEE International Conference on Computer Communications (INFOCOM), May 2024.
  • Y. Chen, W. Xu, X. Wu, M. Zhang, B. Luo, “Personalized Local Differentially Private Federated Learning with Adaptive Client Sampling,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr. 2024.
  • J. Shao, S. Han, C. He, B. Luo, “Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data,” in Workshop on Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities, in Conjunction with ICML 2023 (FL-ICML’ 23), Jul. 2023.
  • W. Xiao, T. Ye, B. Luo, J. Huang, “FedRos – Federated Reinforcement Learning for Networked Mobile-Robot Collaboration”, accepted in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS) Poster and Demo Session, Jul. 2023.
  • B. Luo, Y. Feng, S. Wang, J. Huang, L. Tassiulas, “Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation” accepted in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), 2023.
  • B. Luo, W. Xiao, S. Wang, J. Huang, L. Tassiulas, “Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling” in Proc. IEEE International Conference on Computer Communications (INFOCOM), 2022.
  • B. Luo, X. Li, S. Wang, J. Huang, L. Tassiulas, “Cost-Effective Federated Learning Design,” in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2021.
  • B. Luo, PL. Yeoh, R. Schober and B. Krongold, “Optimal Frequency-Selective Energy Beamforming with Joint Total and Individual Power Constraints” in Proc. IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, December, 2019.
  • B. Luo, PL. Yeoh and B. Krongold, “Optimal Power Allocation for DAS-OFDM under Joint Total and Individual Power Constraints,” in Proc. IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, December, 2019.
  • B. Luo, PL. Yeoh, R. Schober and B. Krongold, “Optimal Energy Beamforming for Distributed Wireless Power Transfer over Frequency-Selective Channels,” in Proc. IEEE International Conference on Communications (ICC), Shanghai, China, May 2019.
  • B. Luo, PL. Yeoh, and B. Krongold, ” Optimal Co-phasing Power Allocation for Coordinated OFDM Transmission,” in Proc. IEEE International Conference on Communications (ICC), Paris, France, Jun. 2017.
  • B. Luo, Q. Cui, X. Tao, and A.A. Dowhuszko, “On the Optimal Power Allocation for Coordinated Wireless Backhaul in OFDM Based Relay Systems,” in Proc. IEEE International Conference on Communications (ICC), Budapest, Hungary, Jun. 2013.
  • B. Luo, Q. Cui, and X. Tao, “Constant-Power Joint Water-filling for Coordinated Transmission,” in Proc. IEEE Global Communications Conference (GLOBECOM), Houston, US, Dec. 2011.
  • B. Luo, Q. Cui, H. Wang, and X. Tao, “Optimal Joint Water-filling for OFDM Systems with Multiple Cooperative Power Sources,” in Proc. IEEE Global Communications Conference (GLOBECOM), Miami, US, Dec. 2010.
  • Q. Cui, B. Luo, and X. Huang, “Joint Power Allocation Solutions for Power Consumption Minimization in Coordinated Transmission System,” in Proc. IEEE Global Communications Conference (GLOBECOM) Workshop on Multi-Cell Cooperation, Houston, US, Dec. 2011.

Patents


  • Y. Yang, J. Han, Y. Yi, H. Yang, B. Luo, Method for building energy consumption control based on federated learning indoor Bluetooth fingerprint location, CN116500935A, Mar.2024, field
  • Y. Yang, J. Han, Y. Yi, H. Yang, B. Luo, Method for human posture recognition based on federated learning in millimeter wave radar, CN116524595A, Mar.2024, field
  • X. Li, B. Luo, Y. Luo, J. Huang, Federated Learning Model Sharing Method, System, and Related Equipment, CN202311693222.1, Dec. 2023, field
  • B. Luo, J. Shao, Method and Apparatus for Online Parameter Selection in Minimizing the Total Cost of Federated Learning, CN202310485067.8, Apr. 2023, field
  • B. Luo, J. Shao, Method and Apparatus for Online Client Sampling in Minimizing the Training time of Federated Learning, CN 202310484383.3, Apr. 2023, field
  • B. Luo, Y. Feng, J. Huang, Method and Apparatus for Stackelberg Game based Incentive Mechanism for Unbiased Federated Learning, CN CN202310489754.7, Apr. 2023, field
  • B. Luo, J. Shao, J. Huang, Method and Apparatus for Frequent Items Mining Using Federated Analytics, CN202310365167.7, Mar. 2023, field
  • B. Luo, J. Shao, J. Huang, Method and Apparatus for Frequent Data Mining Based on Hierarchical Federated Analytics, CN202310330791.3, Mar. 2023, field
  • B. Luo, X. Li, J. Huang. Method and Apparatus for Dynamic Bandwidth Allocation in Heterogeneous Federated Learning, CN202211006603.3, August, 2022, field.
  • B. Luo, Z. Li, J. Huang. Method and Apparatus for Measuring Client Contribuation in Federated Learning, CN202210509693.1, May, 2022, field.
  • B. Luo, T. Ye, W. Xiao, J. Huang. Method and Apparatus for Model Aggregation for Federated Reinforcement Learning, CN202210320107.9, Mar. 2022, field.
  • B. Luo, J. Sun, B. Tan, W. Jin and C. He. Method and Apparatus for Distributed Power Control in LTE-A system, CN103906200A, Jul. 2014, granted.
  • Q. Cui, P. Zhang, X. Tao, B. Luo, A.A. Dowhuszko, and J. Hämäläinen. Method for allocating downlink transmission power of coordinated transmission devices in coordinated multi-point transmission system, U.S. Patent 8811147, Aug. 2014, granted.