Publications

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)

• B. Zhang,C. Qin, B. Luo, “Demo: Privacy-Preserving Room Occupancy Estimation Using Federated Analytics of BLE Packets” in ACM Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2024.
• R. Zhou, L. Qu, L. Zhang, Z. Li, H. Yu, B. Luo, “Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation” in Proc. IEEE International Conference on E-health Networking, Application & Services (Healthcom), Nov. 2024.
• J. Geng, B. Tang, B. Zhang, J. Shao, B. Luo, “Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics” in Proc. ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Oct. 2024.
• X. Li, Y. Luo, B. Luo, J. Huang, “Social Welfare Maximization for Federated Learning with Network Effects,” in Proc. ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Oct. 2024.
• Y. Gong, B. Luo, C. Hu, D. Cheng, “An Overlapping Coalition Game for Individual Utility Maximization in Federated Learning,” in FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics, in Conjunction with ACM SIGKDD, Aug., 2024
• Z. He, T. Tu, KY. Wang, B. Luo, D. Cheng, C. Hu,“Federated Spectrum Management Through Hedonic Coalition Formation,”in Proc. Asia-Pacific Workshop on Networking (APNet), Aug, 2024
• 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 Workshop, 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.

• 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.