Te-Chuan Chiu

Orcid: 0000-0001-9354-5306

According to our database1, Te-Chuan Chiu authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Ensuring Bidirectional Privacy on Wireless Split Inference Systems.
IEEE Wirel. Commun., October, 2024

Mobility-Aware Deep Reinforcement Learning With Seq2seq Mobility Prediction for Offloading and Allocation in Edge Computing.
IEEE Trans. Mob. Comput., June, 2024

Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Weak Devices Matter: Model Heterogeneity in Resource-Constrained Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2024

VISIT: Virtual-Targeted Sequential Training with Hierarchical Federated Learning on Non-IID Data.
Proceedings of the IEEE International Conference on Communications, 2024

2023
A Multi-Market Trading Framework for Low-Latency Service Provision at the Edge of Networks.
IEEE Trans. Serv. Comput., 2023

SynFMPL: A Federated Meta Pseudo Labeling Framework with Synergetic Strategy.
Proceedings of the IEEE International Conference on Communications, 2023

Reinforcement Learning-Based Task Offloading of MEC-Assisted UAVs in Precision Agriculture.
Proceedings of the IEEE Global Communications Conference, 2023

Metalens: Federated Meta-Learning Ensemble Using Flexible Classifiers on Non-IID Data.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022
Collaborative Energy Beamforming for Wireless Powered Fog Computing Networks.
IEEE Trans. Wirel. Commun., 2022

2021
Dual-Masking Framework against Two-Sided Model Attacks in Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2021

FedEqual: Defending Model Poisoning Attacks in Heterogeneous Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Semisupervised Distributed Learning With Non-IID Data for AIoT Service Platform.
IEEE Internet Things J., 2020

Mobility-Aware Deep Reinforcement Learning with Glimpse Mobility Prediction in Edge Computing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Latency-Driven Fog Cooperation Approach in Fog Radio Access Networks.
IEEE Trans. Serv. Comput., 2019

The Impact of Traffic Information Age on Congestion Mitigation.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2017
Enabling Low-Latency Applications in Fog-Radio Access Networks.
IEEE Netw., 2017

Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids.
IEEE Internet Things J., 2017

Latency-Driven Cooperative Task Computing in Multi-user Fog-Radio Access Networks.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Virtual machine placement for backhaul traffic minimization in fog radio access networks.
Proceedings of the IEEE International Conference on Communications, 2017

Privacy-preserving of platoon-based V2V in collaborative edge: poster abstract.
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

2016
Ultra-low latency service provision in 5G Fog-Radio Access Networks.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

2014
Profit-aware base station operation for green cellular networks.
Proceedings of the IEEE International Conference on Communications, 2014

Optimal day-ahead pricing with renewable energy for smart grid.
Proceedings of the IEEE International Conference on Communications, 2014

Mobile small cell deployment for next generation cellular networks.
Proceedings of the IEEE Global Communications Conference, 2014

2012
Mobility-aware charger deployment for wireless rechargeable sensor networks.
Proceedings of the 14th Asia-Pacific Network Operations and Management Symposium, 2012


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