8 citations · 13 across the 11 of their papers we have counts for
5 papers · 1 filter
SD-AETO: Service Deployment Enabled Adaptive Edge Task Offloading in MEC
Liangjun Song, Gang Sun, Hongfang Yu +1
In recent years, edge computing, as an important pillar for future networks, has been developed rapidly. Task offloading is a key part of edge computing that can provide computing…
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao, Gang Sun, Hongfang Yu +1
Federated learning is gaining popularity as a distributed machine learning method that can be used to deploy AI-dependent IoT applications while protecting client data privacy and…
SNPSFuzzer: A Fast Greybox Fuzzer for Stateful Network Protocols using Snapshots
Junqiang Li, Senyi Li, Gang Sun +2
Greybox fuzzing has been widely used in stateless programs and has achieved great success. However, most state-of-the-art greybox fuzzers generally have the problems of slow speed…
Cross-Silo Heterogeneous Model Federated Multitask Learning
Xingjian Cao, Zonghang Li, Gang Sun +2
Federated learning (FL) is a machine learning technique that enables participants to collaboratively train high-quality models without exchanging their private data. Participants u…
PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks
Miao Dai, Long Luo, Jing Ren +2
5G/B5G is envisioned to support various services with the assistance of network slices, each slice instance asks for adequate resources to provide the pre-negotiated service qualit…