Liang Li
Orcid: 0000-0003-3369-3571Affiliations:
- Frontier Research Center, Peng Cheng Laboratory, Shenzhen, China
According to our database1,
Liang Li authored at least 46 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
FL in Motion: Accelerating FL via Mobility-Aware Vehicle Selection and Sparse Training.
IEEE Trans. Mob. Comput., July, 2026
CoRR, May, 2026
CoRR, April, 2026
Accelerating Federated Edge Learning via Wireless and Heterogeneity Aware Subnetwork Scheduling.
IEEE Trans. Netw., 2026
Wider Eyes in the Sky: Scene-Adaptive Video Analytics in Low-Altitude Surveillance Networks.
IEEE Trans. Cogn. Commun. Netw., 2026
V-FedMM: Dynamic sample selection for efficient multimodal federated learning over vehicular networks.
Comput. Networks, 2026
2025
IEEE Internet Things Mag., November, 2025
FedEx: Expediting Federated Learning Over Heterogeneous Mobile Devices by Overlapping and Participant Selection.
IEEE Trans. Mob. Comput., October, 2025
MobiLLM: Enabling On-Device Fine-Tuning of Billion-Sized LLMs via Server-Assisted Side-Tuning.
IEEE J. Sel. Top. Signal Process., October, 2025
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks.
IEEE Netw. Lett., September, 2025
Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning.
CoRR, August, 2025
PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning.
CoRR, July, 2025
Budget-Adaptive Adapter Tuning in Orthogonal Subspaces for Continual Learning in LLMs.
CoRR, May, 2025
CoRR, March, 2025
MobiLLM: Enabling LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning.
CoRR, February, 2025
IEEE Internet Things J., 2025
Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices.
Proceedings of the IEEE INFOCOM 2025, 2025
RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing.
Proceedings of the IEEE International Conference on Communications, 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Failure-Resilient Distributed Inference With Model Compression Over Heterogeneous Edge Devices.
IEEE Trans. Mob. Comput., December, 2024
UAV-Assisted Wireless Cooperative Communication and Coded Caching: A Multiagent Two-Timescale DRL Approach.
IEEE Trans. Mob. Comput., May, 2024
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation.
IEEE Trans. Wirel. Commun., February, 2024
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling.
CoRR, 2024
Emergency Caching: Coded Caching-Based Reliable Map Transmission in Emergency Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Hierarchical Charging and Computation Scheduling for Connected Electric Vehicles via Safe Reinforcement Learning.
Proceedings of the IEEE INFOCOM 2024, 2024
2023
Energy Efficient Federated Learning Over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission.
IEEE Trans. Mob. Comput., December, 2023
Collaborative Computation Offloading for Photovoltaic Power Prediction in Energy Internet: A Similarity-Aware Stable Matching Approach.
IEEE Internet Things J., 2023
GA-MADDPG: A Demand-Aware UAV Network Adaptation Method for Joint Communication and Positioning in Emergency Scenarios.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Joint Power Control and Bandwidth Allocation for UAV-Assisted Integrated Communication and Localization Networks.
Proceedings of the IEEE INFOCOM 2023, 2023
Joint Energy Trading and Computation Scheduling for Geo-Distributed Data Centers in Emergency Demand Response.
Proceedings of the IEEE Global Communications Conference, 2023
2022
IEEE Wirel. Commun., 2022
To Talk or to Work: Dynamic Batch Sizes Assisted Time Efficient Federated Learning Over Future Mobile Edge Devices.
IEEE Trans. Wirel. Commun., 2022
Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., 2022
Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2022
Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability.
IEEE Internet Things J., 2022
2021
Data-Driven Optimization for Cooperative Edge Service Provisioning With Demand Uncertainty.
IEEE Internet Things J., 2021
Matching Theory Aided Federated Learning Method for Load Forecasting of Virtual Power Plant.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
2020
Energy-Efficient Proactive Caching for Adaptive Video Streaming via Data-Driven Optimization.
IEEE Internet Things J., 2020
To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design.
CoRR, 2020
Data-Driven Optimization for Resource Provision in Non-Cooperative Edge Computing Market.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing.
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the IEEE Global Communications Conference, 2020
2019
Participant Recruitment for Coverage-Aware Mobile Crowdsensing with Location Differential Privacy.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Delay-Aware Adaptive Wireless Video Streaming in Edge Computing Assisted Ultra-Dense Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019