Fangtong Zhou

Orcid: 0000-0003-0750-1441

According to our database1, Fangtong Zhou authored at least 24 papers between 2021 and 2025.

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Bibliography

2025
SA2FE: A Secure, Anonymous, Auditable, and Fair Edge Computing Service Offloading Framework.
CoRR, April, 2025

Over-the-Air Hierarchical Personalized Federated Learning.
IEEE Trans. Veh. Technol., March, 2025

Moving Edge for On-Demand Edge Computing: An Uncertainty-aware Approach.
CoRR, March, 2025

Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks.
CoRR, March, 2025

2024
FENDI: Toward High-Fidelity Entanglement Distribution in the Quantum Internet.
IEEE/ACM Trans. Netw., December, 2024

Fence: Fee-Based Online Balance-Aware Routing in Payment Channel Networks.
IEEE/ACM Trans. Netw., April, 2024

PDD: Partitioning DAG-Topology DNNs for Streaming Tasks.
IEEE Internet Things J., March, 2024

How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Decentralized Satellite Federated Learning via Intra- and Inter-Orbit Communications.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

A Statistical Study of Female Students in a Software Engineering Class: Preparedness, Performance, and Contribution.
Proceedings of the IEEE Frontiers in Education Conference, 2024

How Much Effort Do You Need to Expend on a Technical Interview? A Study of LeetCode Problem Solving Statistics.
Proceedings of the 36th International Conference on Software Engineering Education and Training, 2024

2023
FENDI: High-Fidelity Entanglement Distribution in the Quantum Internet.
CoRR, 2023

Adaptive Transceiver Design for Wireless Hierarchical Federated Learning.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

EA-Market: Empowering Real-Time Big Data Applications with Short-Term Edge SLA Leases.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

INSPIRE: Instance-Level Privacy-Pre Serving Transformation for Vehicular Camera Videos.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

ESDI: Entanglement Scheduling and Distribution in the Quantum Internet.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

Over-the-Air Computation Assisted Hierarchical Personalized Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2023

Predicting Students' Software Engineering Class Performance with Machine Learning and Pre-Class GitHub Metrics.
Proceedings of the IEEE Frontiers in Education Conference, 2023

2022
Why Riding the Lightning? Equilibrium Analysis for Payment Hub Pricing.
Proceedings of the IEEE International Conference on Communications, 2022

FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Data-Driven Edge Resource Provisioning for Inter-Dependent Microservices with Dynamic Load.
Proceedings of the IEEE Global Communications Conference, 2021


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