Lili Su

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 72

Top Topics

Experimental Design

Bayesian Learning

Fundamental Limits

Bias Correction

Top Venues

Proc. ACM Meas. Anal. Comput. Syst.

SIGMETRICS (Abstracts)

Publications

Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. ACM Trans. Cyber Phys. Syst. 8 (2) (2024)
Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
Distributed Experimental Design Networks. INFOCOM (2024)
Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
Fair Concurrent Training of Multiple Models in Federated Learning. CoRR (2024)
Qiong Li, Lili Su, Yanyan Zhao, Lixing Li, Xuan Wang
An Evaluation Model of the Effectiveness of College Club Activities Based on Grey Relational Analysis. IMIS (2024)
Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
Distributed Experimental Design Networks. CoRR (2024)
Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model. CoRR (2024)
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR (2024)
Yuanyuan Li, Yuezhou Liu, Lili Su, Edmund Yeh, Stratis Ioannidis
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints. IEEE/ACM Trans. Netw. 31 (5) (2023)
Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN (2023)
Connor McLaughlin, Matthew Ding, Deniz Edogmus, Lili Su
Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning. CoRR (2023)
Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS (2023)
Qinghai Ou, Yanru Wang, Hong Zhu, Wendi Wang, Lili Su, Ying Wang
Service Function Chain Scheduling Method for Power Wide Coverage 5G Multi-link Converged Networks. BMSB (2023)
Connor McLaughlin, Matthew Ding, Deniz Edogmus, Lili Su
Fast and Robust State Estimation and Tracking via Hierarchical Learning. CoRR (2023)
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR (2023)
Sujie Shao, Lili Su, Qinghang Zhang, Shuang Wu, Shaoyong Guo, Feng Qi
Multi task dynamic edge-end computing collaboration for urban Internet of Vehicles. Comput. Networks 227 (2023)
Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew
Cache-Enabled Federated Learning Systems. MobiHoc (2023)
Sujie Shao, Lili Su, Ruijun Chai, Shaoyong Guo, Siya Xu, Juntao Zheng
Multi-level Intelligent Collaborative Computing Mechanism Based on DDQN for Smart Highways. BMSB (2023)
Yanyan Zhao, Qiong Li, Xuhui Fan, Lili Su, Jingtao Li, Xiaokang Liu
Teaching Method of Advanced Mathematics Combining PAD Classroom with ADDIE Model. EIDWT (2023)
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC (2023)
Lili Su, Jiaming Xu, Pengkun Yang
Federated Learning in the Presence of Adversarial Client Unavailability. CoRR (2023)
Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR (2023)
Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. CoRR (2023)
Lili Su, Jiaming Xu, Pengkun Yang
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points. J. Mach. Learn. Res. 24 (2023)
Sihong Shao, Lili Su
Nonlocalization of singular potentials in quantum dynamics. CoRR (2023)
Ming Xiang, Lili Su
β-Stochastic Sign SGD: A Byzantine Resilient and Differentially Private Gradient Compressor for Federated Learning. CoRR (2022)
Lili Su, Jiaming Xu, Pengkun Yang
Global Convergence of Federated Learning for Mixed Regression. NeurIPS (2022)
Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. INFOCOM (2022)
Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. CoRR (2022)
Lili Su, Jiaming Xu, Pengkun Yang
Global Convergence of Federated Learning for Mixed Regression. CoRR (2022)
Lili Su, Nitin H. Vaidya
Byzantine-Resilient Multiagent Optimization. IEEE Trans. Autom. Control. 66 (5) (2021)
Lili Su, Jiaming Xu, Pengkun Yang
Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points. CoRR (2021)
Lili Su, Quanquan C. Liu, Neha Narula
The Power of Random Symmetry-Breaking in Nakamoto Consensus. CoRR (2021)
Lili Su, Quanquan C. Liu, Neha Narula
The Power of Random Symmetry-Breaking in Nakamoto Consensus. DISC (2021)
Jiajia Zhao, Lili Su, Nancy A. Lynch
Lack of Quorum Sensing Leads to Failure of Consensus in Temnothorax Ant Emigration. SSS (2021)
Qiong Li, Yanyan Zhao, Jiangtao Li, Lili Su
Teaching Evaluation Index Based on Analytic Hierarchy Process. INCoS (2020)
Xuan Yang, Weide Li, Lili Su, Yaling Wang, Ailing Yang
An improved evolution fruit fly optimization algorithm and its application. Neural Comput. Appl. 32 (14) (2020)
Xiaolan Wang, Tongzhou Wang, Lili Su, Yansong Wang, Dongpo Yang, Chao Yang, Ningning Liu
Adaptive Active Vehicle Interior Noise Control Algorithm Based on Nonlinear Signal Reconstruction. Circuits Syst. Signal Process. 39 (10) (2020)
Lili Su, Shahin Shahrampour
Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements. IEEE Trans. Autom. Control. 65 (9) (2020)
Xuhui Fan, Wei Li, Zhimin Wang, Yiyue Sun, Lili Su
The Analysis of Higher Mathematics Teaching Strategy Based on the Innovative Teaching Mode. IMIS (2020)
Tao Peng, Lili Su, Ronghui Zhang, Zhiwei Guan, Honglin Zhao, Zhijun Tony Qiu, Changfu Zong, Hongguo Xu
A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles. Expert Syst. Appl. 141 (2020)
Lili Su, Chia-Jung Chang, Nancy A. Lynch
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. Neural Comput. 31 (12) (2019)
Lili Su, Chia-Jung Chang, Nancy A. Lynch
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. CoRR (2019)
Lili Su, Martin Zubeldia, Nancy A. Lynch
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. Proc. ACM Meas. Anal. Comput. Syst. 3 (1) (2019)
Lili Su
Defending Distributed Systems Against Adversarial Attacks: Consensus, Consensusbased Learning, and Statistical Learning. SIGMETRICS Perform. Evaluation Rev. 47 (3) (2019)
Lili Su, Nitin H. Vaidya
Defending non-Bayesian learning against adversarial attacks. Distributed Comput. 32 (4) (2019)
Lili Su, Pengkun Yang
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective. NeurIPS (2019)
Pooja Vyavahare, Lili Su, Nitin H. Vaidya
Distributed Learning over Time-Varying Graphs with Adversarial Agents. FUSION (2019)
Lili Su, Jiaming Xu
Securing Distributed Gradient Descent in High Dimensional Statistical Learning. Proc. ACM Meas. Anal. Comput. Syst. 3 (1) (2019)
Lili Su, Martin Zubeldia, Nancy A. Lynch
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. SIGMETRICS (Abstracts) (2019)
Pooja Vyavahare, Lili Su, Nitin H. Vaidya
Distributed Learning with Adversarial Agents Under Relaxed Network Condition. CoRR (2019)
Lili Su, Pengkun Yang
On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective. CoRR (2019)
Lili Su, Jiaming Xu
Securing Distributed Gradient Descent in High Dimensional Statistical Learning. SIGMETRICS (Abstracts) (2019)
Lili Su, Martin Zubeldia, Nancy A. Lynch
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. CoRR (2018)
Yudong Chen, Lili Su, Jiaming Xu
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. SIGMETRICS (Abstracts) (2018)
Lili Su, Jiaming Xu
Securing Distributed Machine Learning in High Dimensions. CoRR (2018)
Lili Su
On the Convergence Rate of Average Consensus and Distributed optimization over Unreliable Networks. ACSSC (2018)
Lili Su, Martin Zubeldia, Nancy A. Lynch
Collaboratively Learning the Best Option, Using Bounded Memory. CoRR (2018)
Lili Su, Shahin Shahrampour
Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements. CoRR (2018)
Hsin-Hao Su, Lili Su, Anna R. Dornhaus, Nancy A. Lynch
Ant-Inspired Dynamic Task Allocation via Gossiping. SSS (2017)
Yudong Chen, Lili Su, Jiaming Xu
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. Proc. ACM Meas. Anal. Comput. Syst. 1 (2) (2017)
Farzad Farnoud Hassanzadeh, Olgica Milenkovic, Gregory J. Puleo, Lili Su
Computing similarity distances between rankings. Discret. Appl. Math. 232 (2017)
Yudong Chen, Lili Su, Jiaming Xu
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. CoRR (2017)
Lili Su, Nitin H. Vaidya
Reaching approximate Byzantine consensus with multi-hop communication. Inf. Comput. 255 (2017)
Lili Su, Nitin H. Vaidya
Fault-Tolerant Multi-Agent Optimization: Optimal Iterative Distributed Algorithms. PODC (2016)
Lili Su, Nitin H. Vaidya
Asynchronous Non-Bayesian Learning in the Presence of Crash Failures. SSS (2016)
Lili Su, Nitin H. Vaidya
Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures. CoRR (2016)
Lili Su
DISC 2016 Review. SIGACT News 47 (4) (2016)
Lili Su, Nitin H. Vaidya
Robust Multi-agent Optimization: Coping with Byzantine Agents with Input Redundancy. SSS (2016)
Lili Su, Nitin H. Vaidya
Defending Non-Bayesian Learning against Adversarial Attacks. CoRR (2016)
Lili Su, Nitin H. Vaidya
Robust Multi-Agent Optimization: Coping with Packet-Dropping Link Failures. CoRR (2016)
Lili Su, Nitin H. Vaidya
Multi-agent optimization in the presence of Byzantine adversaries: Fundamental limits. ACC (2016)
Lili Su, Nitin H. Vaidya
Non-Bayesian Learning in the Presence of Byzantine Agents. DISC (2016)
Lili Su, Nitin H. Vaidya
Byzantine Multi-Agent Optimization: Part II. CoRR (2015)
Lili Su, Nitin H. Vaidya
Fault-Tolerant Multi-Agent Optimization: Part III. CoRR (2015)
Lili Su, Nitin H. Vaidya
Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks. CoRR (2015)
Ying Zhang, Lili Su, Zhifan Yang, Xue Zhao, Xiaojie Yuan
Multi-Label Emotion Tagging for Online News by Supervised Topic Model. APWeb (2015)
Lili Su, Nitin H. Vaidya
Reaching Approximate Byzantine Consensus with Multi-hop Communication. SSS (2015)
Lili Su, Nitin H. Vaidya
Byzantine Multi-Agent Optimization: Part I. CoRR (2015)
Lili Su, Olgica Milenkovic
Synchronizing rankings via interactive communication. ISIT (2014)
Ying Zhang, Xue Zhao, Chao Wang, Ya Wang, Lili Su, Xiaojie Yuan
Social Advertisability Analysis on Twitter. IEEE WISA (2014)
Chao Wang, Lili Su, Xue Zhao, Ying Zhang
Application Performance Monitoring and Analyzing Based on Bayesian Network. IEEE WISA (2014)
Lili Su, Farzad Farnoud, Olgica Milenkovic
Similarity distances between permutations. ISIT (2014)
Lili Su, Nitin H. Vaidya
Reaching Approximate Byzantine Consensus with Multi-hop Communication. CoRR (2014)
Lili Su, Olgica Milenkovic
Synchronizing Rankings via Interactive Communication. CoRR (2014)
Lili Su, Farzad Farnoud, Olgica Milenkovic
Computing Similarity Distances Between Rankings. CoRR (2013)
Hongying Shan, Lili Su, Songyan Pan, Shubin Ge, Libin Zhang
Simulation analysis of error correction method of headlamp detection based on driving direction. WCNIS (2010)
He Guo, Lili Su, Yuxin Wang, Zhu Long
FPGA-Accelerated Molecular Dynamics Simulations System. ScalCom-EmbeddedCom (2009)
Lili Su, Shenggang Yang, Yushun Li, Xiaochun Cheng, Ronghuai Huang
Semantic-Oriented Ubiquitous Learning Object Management System SULOMS. COMPSAC (2008)