Lili Su
Orcid: 0000-0003-3538-5679
According to our database1,
Lili Su
authored at least 67 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model.
CoRR, 2024
2023
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints.
IEEE/ACM Trans. Netw., October, 2023
Comput. Networks, May, 2023
J. Mach. Learn. Res., 2023
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing.
CoRR, 2023
Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning.
CoRR, 2023
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles.
IROS, 2023
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023
Proceedings of the Advances in Internet, Data & Web Technologies, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Multi-level Intelligent Collaborative Computing Mechanism Based on DDQN for Smart Highways.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023
Service Function Chain Scheduling Method for Power Wide Coverage 5G Multi-link Converged Networks.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023
2022
β-Stochastic Sign SGD: A Byzantine Resilient and Differentially Private Gradient Compressor for Federated Learning.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
CoRR, 2021
Proceedings of the 35th International Symposium on Distributed Computing, 2021
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2021
2020
Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements.
IEEE Trans. Autom. Control., 2020
Neural Comput. Appl., 2020
A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles.
Expert Syst. Appl., 2020
Adaptive Active Vehicle Interior Noise Control Algorithm Based on Nonlinear Signal Reconstruction.
Circuits Syst. Signal Process., 2020
Proceedings of the Advances in Intelligent Networking and Collaborative Systems - The 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020), Victoria, BC, Canada, 31 August, 2020
The Analysis of Higher Mathematics Teaching Strategy Based on the Innovative Teaching Mode.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2020
2019
Defending Distributed Systems Against Adversarial Attacks: Consensus, Consensusbased Learning, and Statistical Learning.
SIGMETRICS Perform. Evaluation Rev., 2019
Proc. ACM Meas. Anal. Comput. Syst., 2019
Proc. ACM Meas. Anal. Comput. Syst., 2019
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits.
Neural Comput., 2019
Distributed Comput., 2019
On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective.
CoRR, 2019
CoRR, 2019
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
2018
On the Convergence Rate of Average Consensus and Distributed optimization over Unreliable Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Defending distributed systems against adversarial attacks: consensus, consensus-based learning, and statistical learning
PhD thesis, 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent.
Proc. ACM Meas. Anal. Comput. Syst., 2017
Inf. Comput., 2017
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2017
2016
CoRR, 2016
CoRR, 2016
Proceedings of the Distributed Computing - 30th International Symposium, 2016
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2016
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2016
Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing, 2016
Multi-agent optimization in the presence of Byzantine adversaries: Fundamental limits.
Proceedings of the 2016 American Control Conference, 2016
2015
Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks.
CoRR, 2015
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015
2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 11th Web Information System and Application Conference, 2014
Proceedings of the 11th Web Information System and Application Conference, 2014
2013
2010
Simulation analysis of error correction method of headlamp detection based on driving direction.
Proceedings of the IEEE International Conference on Wireless Communications, 2010
2009
Proceedings of the International Conference on Scalable Computing and Communications / Eighth International Conference on Embedded Computing, 2009
2008
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008