Lili Su

Orcid: 0000-0003-3538-5679

According to our database1, Lili Su authored at least 80 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Global Convergence of Federated Learning for Mixed Regression.
IEEE Trans. Inf. Theory, September, 2024

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing.
ACM Trans. Cyber Phys. Syst., April, 2024

RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model.
IEEE Trans. Geosci. Remote. Sens., 2024

Personalized Federated Learning via Feature Distribution Adaptation.
CoRR, 2024

Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability.
CoRR, 2024

Data-efficient Trajectory Prediction via Coreset Selection.
CoRR, 2024

Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles.
CoRR, 2024

Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape.
CoRR, 2024

Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms.
CoRR, 2024

On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments.
CoRR, 2024

Fair Concurrent Training of Multiple Models in Federated Learning.
CoRR, 2024

Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics.
CoRR, 2024

RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model.
CoRR, 2024

Distributed Experimental Design Networks.
Proceedings of the IEEE INFOCOM 2024, 2024

An Evaluation Model of the Effectiveness of College Club Activities Based on Grey Relational Analysis.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2024

Non-transferable Pruning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints.
IEEE/ACM Trans. Netw., October, 2023

Multi-Agent Cooperative Game Based Task Computing Mechanism for UAV-Assisted 6G NTN.
Mob. Networks Appl., August, 2023

Multi task dynamic edge-end computing collaboration for urban Internet of Vehicles.
Comput. Networks, May, 2023

A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points.
J. Mach. Learn. Res., 2023

Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning.
CoRR, 2023

Fast and Robust State Estimation and Tracking via Hierarchical Learning.
CoRR, 2023

Federated Learning in the Presence of Adversarial Client Unavailability.
CoRR, 2023

Nonlocalization of singular potentials in quantum dynamics.
CoRR, 2023

Cache-Enabled Federated Learning Systems.
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

Teaching Method of Advanced Mathematics Combining PAD Classroom with ADDIE Model.
Proceedings of the Advances in Internet, Data & Web Technologies, 2023

Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications.
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

2021
Byzantine-Resilient Multiagent Optimization.
IEEE Trans. Autom. Control., 2021

Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points.
CoRR, 2021

The Power of Random Symmetry-Breaking in Nakamoto Consensus.
Proceedings of the 35th International Symposium on Distributed Computing, 2021

Lack of Quorum Sensing Leads to Failure of Consensus in Temnothorax Ant Emigration.
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

An improved evolution fruit fly optimization algorithm and its application.
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

Teaching Evaluation Index Based on Analytic Hierarchy Process.
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

Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Securing Distributed Gradient Descent in High Dimensional Statistical Learning.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits.
Neural Comput., 2019

Defending non-Bayesian learning against adversarial attacks.
Distributed Comput., 2019

On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective.
CoRR, 2019

Distributed Learning with Adversarial Agents Under Relaxed Network Condition.
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

Distributed Learning over Time-Varying Graphs with Adversarial Agents.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Securing Distributed Machine Learning in High Dimensions.
CoRR, 2018

Collaboratively Learning the Best Option, Using Bounded Memory.
CoRR, 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

Reaching approximate Byzantine consensus with multi-hop communication.
Inf. Comput., 2017

Computing similarity distances between rankings.
Discret. Appl. Math., 2017

Ant-Inspired Dynamic Task Allocation via Gossiping.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2017

2016
DISC 2016 Review.
SIGACT News, 2016

Robust Multi-Agent Optimization: Coping with Packet-Dropping Link Failures.
CoRR, 2016

Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures.
CoRR, 2016

Non-Bayesian Learning in the Presence of Byzantine Agents.
Proceedings of the Distributed Computing - 30th International Symposium, 2016

Robust Multi-agent Optimization: Coping with Byzantine Agents with Input Redundancy.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2016

Asynchronous Non-Bayesian Learning in the Presence of Crash Failures.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2016

Fault-Tolerant Multi-Agent Optimization: Optimal Iterative Distributed Algorithms.
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

Fault-Tolerant Multi-Agent Optimization: Part III.
CoRR, 2015

Byzantine Multi-Agent Optimization: Part II.
CoRR, 2015

Byzantine Multi-Agent Optimization: Part I.
CoRR, 2015

Multi-Label Emotion Tagging for Online News by Supervised Topic Model.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Synchronizing rankings via interactive communication.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Similarity distances between permutations.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Social Advertisability Analysis on Twitter.
Proceedings of the 11th Web Information System and Application Conference, 2014

Application Performance Monitoring and Analyzing Based on Bayesian Network.
Proceedings of the 11th Web Information System and Application Conference, 2014

2013
Computing Similarity Distances Between Rankings.
CoRR, 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
FPGA-Accelerated Molecular Dynamics Simulations System.
Proceedings of the International Conference on Scalable Computing and Communications / Eighth International Conference on Embedded Computing, 2009

2008
Semantic-Oriented Ubiquitous Learning Object Management System SULOMS.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008


  Loading...