Lightweight Federated Learning in Mobile Edge Computing with Statistical and Device Heterogeneity Awareness
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Jinghong, Zhang, Zhichen, Guo, Kun, Chang, Tsung-Hui, Quek, Tony Q. S. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
by: Siew, Marie, et al.
Published: (2022)
by: Siew, Marie, et al.
Published: (2022)
Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
by: Tan, Jinghong, et al.
Published: (2025)
by: Tan, Jinghong, et al.
Published: (2025)
Constellation as a Service: Tailored Connectivity Management in Direct-Satellite-to-Device Networks
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
Decentralized Semantic Communication and Cooperative Tracking Control for a UAV Swarm over Wireless MIMO Fading Channels
by: Tang, Minjie, et al.
Published: (2024)
by: Tang, Minjie, et al.
Published: (2024)
Agentic AI-RAN Empowering Synergetic Sensing, Communication, Computing, and Control
by: Sun, Lingxiao, et al.
Published: (2026)
by: Sun, Lingxiao, et al.
Published: (2026)
Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective
by: Guo, Shuaishuai, et al.
Published: (2024)
by: Guo, Shuaishuai, et al.
Published: (2024)
Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
by: Wu, Yinyu, et al.
Published: (2024)
by: Wu, Yinyu, et al.
Published: (2024)
Wireless Edge Content Broadcast via Integrated Terrestrial and Non-terrestrial Networks
by: Wang, Feng, et al.
Published: (2023)
by: Wang, Feng, et al.
Published: (2023)
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
by: Zhou, Tailin, et al.
Published: (2024)
by: Zhou, Tailin, et al.
Published: (2024)
Mean Age of Information in Partial Offloading Mobile Edge Computing Networks
by: Dong, Ying, et al.
Published: (2024)
by: Dong, Ying, et al.
Published: (2024)
Entropy-Aware Task Offloading in Mobile Edge Computing
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
Joint Communication and Over-the-Air Computation for Semi-Federated Learning Towards Scalable AI in Computing-Heterogeneous IoT Systems
by: Ni, Wanli, et al.
Published: (2024)
by: Ni, Wanli, et al.
Published: (2024)
RIS-based Communication Enhancement and Location Privacy Protection in UAV Networks
by: Chen, Ziqi, et al.
Published: (2025)
by: Chen, Ziqi, et al.
Published: (2025)
Resource Allocation for Stable LLM Training in Mobile Edge Computing
by: Liu, Chang, et al.
Published: (2024)
by: Liu, Chang, et al.
Published: (2024)
Sensing, Detection and Localization for Low Altitude UAV: A RF-Based Framework via Multiple BSs Collaboration
by: Liang, Tianhao, et al.
Published: (2025)
by: Liang, Tianhao, et al.
Published: (2025)
Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity
by: Yang, Huiling, et al.
Published: (2025)
by: Yang, Huiling, et al.
Published: (2025)
The Role of Federated Learning in a Wireless World with Foundation Models
by: Chen, Zihan, et al.
Published: (2023)
by: Chen, Zihan, et al.
Published: (2023)
Non-Terrestrial Networking for 6G: Evolution, Opportunities, and Future Directions
by: Wang, Feng, et al.
Published: (2024)
by: Wang, Feng, et al.
Published: (2024)
Optimal Task Offloading with Firm Deadlines for Mobile Edge Computing Systems
by: Doan, Khai, et al.
Published: (2025)
by: Doan, Khai, et al.
Published: (2025)
Minimizing AoI in Mobile Edge Computing: Nested Index Policy with Preemptive and Non-preemptive Structure
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing
by: Sun, Zemin, et al.
Published: (2024)
by: Sun, Zemin, et al.
Published: (2024)
A Joint Delay-Energy-Security Aware Framework for Intelligent Task Scheduling in Satellite-Terrestrial Edge Computing Network
by: You, Ting, et al.
Published: (2025)
by: You, Ting, et al.
Published: (2025)
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
HierFedCEA: Hierarchical Federated Edge Learning for Privacy-Preserving Climate Control Optimization Across Heterogeneous Controlled Environment Agriculture Facilities
by: Vakhnovskyi, Andrii
Published: (2026)
by: Vakhnovskyi, Andrii
Published: (2026)
Exploring Lightweight Federated Learning for Distributed Load Forecasting
by: Duttagupta, Abhishek, et al.
Published: (2024)
by: Duttagupta, Abhishek, et al.
Published: (2024)
Timely Offloading in Mobile Edge Cloud Systems
by: Sathyavageeswaran, Nitya, et al.
Published: (2024)
by: Sathyavageeswaran, Nitya, et al.
Published: (2024)
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
by: Ballotta, Luca, et al.
Published: (2023)
by: Ballotta, Luca, et al.
Published: (2023)
Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network
by: Wu, Changxiang, et al.
Published: (2025)
by: Wu, Changxiang, et al.
Published: (2025)
SAFE-IMM: Robust and Lightweight Radar-Based Object Tracking on Mobile Platforms
by: Mandaokar, Dnyandeep, et al.
Published: (2025)
by: Mandaokar, Dnyandeep, et al.
Published: (2025)
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
by: Boscaro, Maddalena, et al.
Published: (2024)
by: Boscaro, Maddalena, et al.
Published: (2024)
Design and Implementation of a Lightweight Object Detection System for Resource-Constrained Edge Environments
by: Jiang, Jiyue, et al.
Published: (2025)
by: Jiang, Jiyue, et al.
Published: (2025)
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
by: Paramanayakam, Varatheepan, et al.
Published: (2025)
by: Paramanayakam, Varatheepan, et al.
Published: (2025)
Certified Learning-Enabled Noise-Aware Motion Planning for Urban Air Mobility
by: Park, Jaejeong, et al.
Published: (2025)
by: Park, Jaejeong, et al.
Published: (2025)
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach
by: He, Xingqiu, et al.
Published: (2023)
by: He, Xingqiu, et al.
Published: (2023)
OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices
by: Bukhari, Abdulrahman, et al.
Published: (2023)
by: Bukhari, Abdulrahman, et al.
Published: (2023)
Control of Microrobots with Reinforcement Learning under On-Device Compute Constraints
by: Liu, Yichen, et al.
Published: (2025)
by: Liu, Yichen, et al.
Published: (2025)
Computation-Aware Learning for Stable Control with Gaussian Process
by: Cao, Wenhan, et al.
Published: (2024)
by: Cao, Wenhan, et al.
Published: (2024)
Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
by: Zhu, Bingjie, et al.
Published: (2025)
by: Zhu, Bingjie, et al.
Published: (2025)
Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
by: Li, Yunfeng, et al.
Published: (2025)
by: Li, Yunfeng, et al.
Published: (2025)
Similar Items
-
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
by: Siew, Marie, et al.
Published: (2022) -
Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
by: Tan, Jinghong, et al.
Published: (2025) -
Constellation as a Service: Tailored Connectivity Management in Direct-Satellite-to-Device Networks
by: Wang, Feng, et al.
Published: (2025) -
Decentralized Semantic Communication and Cooperative Tracking Control for a UAV Swarm over Wireless MIMO Fading Channels
by: Tang, Minjie, et al.
Published: (2024) -
Agentic AI-RAN Empowering Synergetic Sensing, Communication, Computing, and Control
by: Sun, Lingxiao, et al.
Published: (2026)