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Bing Luo
Bing Luo
Assistant Professor of Data and Computational Science, Duke Kunshan University
Bestätigte E-Mail-Adresse bei duke.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Cost-effective federated learning design
B Luo, X Li, S Wang, J Huang, L Tassiulas
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
2042021
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
B Luo, W Xiao, S Wang, J Huang, L Tassiulas
IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1739-1748, 2022
1822022
Cost-effective federated learning in mobile edge networks
B Luo, X Li, S Wang, J Huang, L Tassiulas
IEEE Journal on Selected Areas in Communications 39 (12), 3606-3621, 2021
872021
Optimal joint water-filling for coordinated transmission over frequency-selective fading channels
B Luo, Q Cui, H Wang, X Tao
IEEE Communications Letters 15 (2), 190-192, 2011
402011
Capacity analysis and optimal power allocation for coordinated transmission in MIMO-OFDM systems
Q Cui, X Huang, B Luo, XF Tao, J Jiang
Science China Information Sciences 55, 1372-1387, 2012
332012
Closed-form solution for minimizing power consumption in coordinated transmissions
Q Cui, B Luo, X Huang, A Dowhuszko, J Jiang
EURASIP Journal on Wireless Communications and Networking 2012, 1-14, 2012
212012
Optimal joint water-filling for OFDM systems with multiple cooperative power sources
B Luo, Q Cui, H Wang, X Tao
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1-5, 2010
172010
Optimal Energy Beamforming for Distributed Wireless Power Transfer over Frequency-Selective Channels
Bing Luo, Phee Lep Yeoh, Rober Schober, Brian Krongold
2019 IEEE International Conference on Communications (ICC), 1-6, 2019
10*2019
Joint power allocation solutions for power consumption minimization in coordinated transmission system
Q Cui, B Luo, X Huang
2011 IEEE GLOBECOM Workshops (GC Wkshps), 452-457, 2011
92011
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
B Luo, Y Feng, S Wang, J Huang, L Tassiulas
IEEE ICDCS 2023- IEEE International Conference on Distributed Computing Systems, 2023
82023
Optimal co-phasing power allocation and capacity of coordinated OFDM transmission with total and individual power constraints
B Luo, PL Yeoh, BS Krongold
IEEE Transactions on Communications 67 (10), 7103-7113, 2019
72019
Constant-power joint-waterfilling for coordinated transmission
B Luo, Q Cui, X Tao
2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-6, 2011
72011
Federated Unlearning: a Perspective of Stability and Fairness
J Shao, T Lin, X Cao, B Luo
arXiv preprint arXiv:2402.01276, 2024
62024
Optimization Design for Federated Learning in Heterogeneous 6G Networks
B Luo, X Ouyang, P Sun, P Han, N Ding, J Huang
IEEE Network 37 (2), 38 - 43, 2023
62023
Optimal co-phasing power allocation for coordinated OFDM transmission
B Luo, PL Yeoh, B Krongold
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
52017
FedKit: Enabling Cross-Platform Federated Learning for Android and iOS
S He, B Tang, B Zhang, J Shao, X Ouyang, DN Nugraha, B Luo
Demo IEEE INFOCOM 2024, 2024
32024
On the optimal power allocation for coordinated wireless backhaul in OFDM-based relay systems
B Luo, Q Cui, X Tao, A Dowhuszko
2013 IEEE International Conference on Communications (ICC), 5625-5629, 2013
32013
Personalized Local Differentially Private Federated Learning with Adaptive Client Sampling
Y Chen, W Xu, X Wu, M Zhang, B Luo
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
Privacy-preserving federated heavy hitter analytics for non-iid data
J Shao, S Han, C He, B Luo
arXiv preprint arXiv:2307.02277, 2023
22023
Distributed Multi-Antenna Frequency-Selective Energy Beamforming with Joint Total and Individual Power Constraints
B Luo, PL Yeoh, R Schober, B Krongold
IEEE Transactions on Green Communications and Networking 6 (4), 2100 - 2114, 2022
22022
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