Li Li

Orcid: 0000-0002-2044-8289

Affiliations:

University of Macau, Macau
Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (former)
Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA (PhD 2018)

According to our database¹, Li Li authored at least 61 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., December, 2024

NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training.

[BibT_eX]

[DOI]

CoRR, 2024

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing.

[BibT_eX]

[DOI]

CoRR, 2024

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Federated Domain Unlearning: Verification Methodologies and Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training.

[BibT_eX]

[DOI]

CoRR, 2024

FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning.

[BibT_eX]

[DOI]

Chunlin Tian

Xinpeng Qin

Li Li

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Ranking-based Client Imitation Selection for Efficient Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

Jialiang Ma

Li Li

Cheng-Zhong Xu

IEEE Trans. Parallel Distributed Syst., December, 2023

GraphCS: Graph-based client selection for heterogeneity in federated learning.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., July, 2023

PAGroup: Privacy-aware grouping framework for high-performance federated learning.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., May, 2023

SmartDL: energy-aware decremental learning in a mobile-based federation for geo-spatial system.

[BibT_eX]

[DOI]

Neural Comput. Appl., February, 2023

A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2023

Breaking On-device Training Memory Wall: A Systematic Survey.

[BibT_eX]

[DOI]

CoRR, 2023

FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning.

[BibT_eX]

[DOI]

Chunlin Tian

Zhan Shi

Li Li

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

FedCoop: Cooperative Federated Learning for Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Performance optimization of autonomous driving control under end-to-end deadlines.

[BibT_eX]

[DOI]

Real Time Syst., 2022

FGFL: A blockchain-based fair incentive governor for Federated Learning.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2022

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

LoADPart: Load-Aware Dynamic Partition of Deep Neural Networks for Edge Offloading.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Federated Noisy Client Learning.

[BibT_eX]

[DOI]

CoRR, 2021

DEAL: Decremental Energy-Aware Learning in a Federated System.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2021

SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

FIFL: A Fair Incentive Mechanism for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

FLSim: An Extensible and Reusable Simulation Framework for Federated Learning.

[BibT_eX]

[DOI]

Li Li

Jun Wang

Chengzhong Xu

Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020

Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

HySync: Hybrid Federated Learning with Effective Synchronization.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System.

[BibT_eX]

[DOI]

Proceedings of the IEEE Real-Time Systems Symposium, 2019

Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

FFD: A Federated Learning Based Method for Credit Card Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Big Data - BigData 2019, 2019

Exploring federated learning on battery-powered devices.

[BibT_eX]

[DOI]

Zichen Xu

Li Li

Wenting Zou

Proceedings of the ACM Turing Celebration Conference - China, 2019

2018

Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

2017

PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2017

Why "Some" Like It Hot Too: Thermal Attack on Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

SceneMan: Bridging mobile apps with system energy manager via scenario notification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

Selective Checkpointing for Minimizing Recovery Efforts of Smartphone Apps.

[BibT_eX]

[DOI]