Qing Ling
Orcid: 0000-0003-4222-5964Affiliations:
- Sun Yat-Sen University, Guangzhou, China
According to our database1,
Qing Ling
authored at least 134 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
On the Tradeoff Between Privacy Preservation and Byzantine-Robustness in Decentralized Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime.
Signal Process., December, 2023
IEEE Trans. Wirel. Commun., November, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
IEEE Trans. Signal Process., 2023
IEEE Trans. Signal Process., 2023
Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules.
IEEE Trans. Signal Process., 2023
IEEE Trans. Signal Process., 2023
IEEE Trans. Signal Inf. Process. over Networks, 2023
A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence.
IEEE Trans. Signal Inf. Process. over Networks, 2023
Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error.
CoRR, 2023
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment.
CoRR, 2023
Distributed Online Learning With Adversarial Participants In An Adversarial Environment.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Trans. Signal Process., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach.
IEEE Trans. Cloud Comput., 2022
Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning.
Signal Process., 2022
Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data.
Inf. Sci., 2022
CoRR, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Byzantine-Robust Aggregation with Gradient Difference Compression and Stochastic Variance Reduction for Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2022
Byzantine-Robust and Communication-Efficient Distributed Non-Convex Learning Over Non-IID Data.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks.
IEEE Trans. Signal Process., 2021
Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation.
IEEE Trans. Signal Process., 2021
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2021
IEEE Trans. Circuits Syst. Video Technol., 2021
Byzantine-robust decentralized stochastic optimization over static and time-varying networks.
Signal Process., 2021
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning.
CoRR, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Can Primal Methods Outperform Primal-Dual Methods in Decentralized Dynamic Optimization?
IEEE Trans. Signal Process., 2020
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks.
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Inf. Process. over Networks, 2020
HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing.
IEEE Open J. Commun. Soc., 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Signal Process., 2019
IEEE Trans. Cybern., 2019
Distributed stochastic gradient descent for link prediction in signed social networks.
EURASIP J. Adv. Signal Process., 2019
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2019
Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion.
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks.
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Inf. Process. over Networks, 2018
Evacuate Before Too Late: Distributed Backup in Inter-DC Networks with Progressive Disasters.
IEEE Trans. Parallel Distributed Syst., 2018
IEEE Trans. Control. Netw. Syst., 2018
Signal Process., 2018
IEEE Internet Things J., 2018
Int. J. Sens. Networks, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
IEEE Trans. Signal Process., 2017
Signal Process., 2017
EURASIP J. Bioinform. Syst. Biol., 2017
CoRR, 2017
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
ADMM-based distributed algorithm for emergency backup in time-variant inter-DC networks.
Proceedings of the IEEE International Conference on Communications, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2016
Maximizing Utility of Time-Constrained Emergency Backup in Inter-Datacenter Networks.
IEEE Commun. Lett., 2016
CoRR, 2016
Proceedings of the Wireless Algorithms, Systems, and Applications, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Decentralized constrained consensus optimization with primal dual splitting projection.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Signal Process., 2015
IEEE Trans. Signal Process., 2015
IEEE Trans. Parallel Distributed Syst., 2015
SIAM J. Optim., 2015
Int. J. Sens. Networks, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Decentralized quadratically approximated alternating direction method of multipliers.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
2014
IEEE Trans. Signal Process., 2014
Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
IEEE Trans. Signal Process., 2013
IEEE Trans. Circuits Syst. Video Technol., 2013
IEEE Trans. Circuits Syst. Video Technol., 2013
Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
IEEE Trans. Aerosp. Electron. Syst., 2012
A multi-block alternating direction method with parallel splitting for decentralized consensus optimization.
EURASIP J. Wirel. Commun. Netw., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Inf. Fusion, 2011
Integrating preference based weighted sum into evolutionary multi-objective optimization.
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks.
IEEE Trans. Signal Process., 2010
Energy-efficient decentralized event detection in large-scale wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 13th Conference on Information Fusion, 2010
2009
Distributed decision-making in wireless sensor networks for online structural health monitoring.
J. Commun. Networks, 2009
Proceedings of the 12th International Conference on Information Fusion, 2009
2008
Appl. Soft Comput., 2008
2007
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
IEEE Trans. Consumer Electron., 2007
Minimum Node Degree and k-Connectivity of a Wireless Multihop Network in Bounded Area.
Proceedings of the Global Communications Conference, 2007
2005
Restricted evolution based multimodal function optimization in holographic grating design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005