Qing Ling

Orcid: 0000-0003-4222-5964

Affiliations:
  • Sun Yat-Sen University, Guangzhou, China


According to our database1, Qing Ling authored at least 104 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime.
Signal Process., December, 2023

Quantization Bits Allocation for Wireless Federated Learning.
IEEE Trans. Wirel. Commun., November, 2023

Spectral Adversarial Training for Robust Graph Neural Network.
IEEE Trans. Knowl. Data Eng., September, 2023

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning.
IEEE Trans. Signal Process., 2023

Lazy Queries Can Reduce Variance in Zeroth-Order Optimization.
IEEE Trans. Signal Process., 2023

Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules.
IEEE Trans. Signal Process., 2023

Confederated Learning: Federated Learning With Decentralized Edge Servers.
IEEE Trans. Signal Process., 2023

Byzantine-Robust Distributed Learning With Compression.
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

On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning.
CoRR, 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
Byzantine-Resilient Resource Allocation Over Decentralized Networks.
IEEE Trans. Signal Process., 2022

DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications.
IEEE Trans. Neural Networks Learn. Syst., 2022

Communication-Censored Distributed Stochastic Gradient Descent.
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

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I.
CoRR, 2022

Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation.
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

A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Byzantine-Resilient Decentralized Resource Allocation.
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

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

Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation.
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

Communication-Censored Linearized ADMM for Decentralized Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Quantum State Filter With Disturbance and Noise.
IEEE Trans. Autom. Control., 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

A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Stochastic Admm For Byzantine-Robust Distributed Learning.
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
Communication-Censored ADMM for Decentralized Consensus Optimization.
IEEE Trans. Signal Process., 2019

An Efficient and Fast Quantum State Estimator With Sparse Disturbance.
IEEE Trans. Cybern., 2019

Distributed stochastic gradient descent for link prediction in signed social networks.
EURASIP J. Adv. Signal Process., 2019

Communication-Censored Distributed Stochastic Gradient Descent.
CoRR, 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

Decentralized Dynamic ADMM with Quantized and Censored Communications.
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

Decentralized Consensus Optimization With Asynchrony and Delays.
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

Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation.
IEEE Trans. Control. Netw. Syst., 2018

Robust decentralized dynamic optimization at presence of malfunctioning agents.
Signal Process., 2018

Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT.
IEEE Internet Things J., 2018

Distributed constrained optimisation over cloud-based multi-agent networks.
Int. J. Sens. Networks, 2018

Robust Decentralized Dynamic Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

COCA: Communication-Censored ADMM for Decentralized Consensus Optimization.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
An Online Convex Optimization Approach to Proactive Network Resource Allocation.
IEEE Trans. Signal Process., 2017

An Online Convex Optimization Approach to Dynamic Network Resource Allocation.
CoRR, 2017

Learn-and-adapt network resource allocation.
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

Distributed recursive least-squares with data-adaptive censoring.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Decentralized bundle method for nonsmooth consensus optimization.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Online convex optimization for dynamic network resource allocation.
Proceedings of the 25th European Signal Processing Conference, 2017

Asynchronous periodic event-triggered coordination of multi-agent systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Online learning for "thing-adaptive" Fog Computing in IoT.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Weighted ADMM for Fast Decentralized Network Optimization.
IEEE Trans. Signal Process., 2016

On the Convergence of Decentralized Gradient Descent.
SIAM J. Optim., 2016

Maximizing Utility of Time-Constrained Emergency Backup in Inter-Datacenter Networks.
IEEE Commun. Lett., 2016

Distributed Constrained Optimization Over Cloud-Based Multi-agent Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2016

Communication-efficient weighted ADMM for decentralized network optimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed network resource allocation with integer constraints.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
A Proximal Gradient Algorithm for Decentralized Composite Optimization.
IEEE Trans. Signal Process., 2015

DLM: Decentralized Linearized Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2015

Communication-Efficient Decentralized Event Monitoring in Wireless Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2015

EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization.
SIAM J. Optim., 2015

A decentralised linear programming approach to energy-efficient event detection.
Int. J. Sens. Networks, 2015

Decentralized learning for wireless communications and networking.
CoRR, 2015

A proximal gradient algorithm for decentralized nondifferentiable optimization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
On the Linear Convergence of the ADMM in Decentralized Consensus Optimization.
IEEE Trans. Signal Process., 2014

2013
Decentralized Jointly Sparse Optimization by Reweighted l<sub>q</sub> Minimization.
IEEE Trans. Signal Process., 2013

Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2013

High-dimensional sparse covariance estimation for random signals.
Proceedings of the IEEE International Conference on Acoustics, 2013

A linearized bregman algorithm for decentralized basis pursuit.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Distributed Sensor Allocation for Multi-Target Tracking in Wireless Sensor Networks.
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

Sparse FIR estimation of low-order systems.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Decentralized low-rank matrix completion.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Localized sensor management for multi-target tracking in wireless sensor networks.
Inf. Fusion, 2011

Integrating preference based weighted sum into evolutionary multi-objective optimization.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Decentralized support detection of multiple measurement vectors with joint sparsity.
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

Denoising and error correction in wireless sensor networks.
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

A decentralized Gauss-Seidel approach for in-network sparse signal recovery.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Crowding clustering genetic algorithm for multimodal function optimization.
Appl. Soft Comput., 2008

2007
Deterministic Robust Optimal Design Based on Standard Crowding Genetic Algorithm.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Piecewise Patching for Time-shifted TV Over HFC Networks.
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


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