Sheng Zhong
3 papers in the PaperMetrix corpus
Papers by this author
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Privacy-Preserving Data Integrity Verification in Mobile Edge Computing
2019
Mobile edge computing (MEC) is proposed as an extension of cloud computing in the scenarios where the end devices desire better services in terms of response time. Edge nodes are deployed at the proximity of …
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CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation
2024 · arXiv (Cornell University)
In the federated learning (FL) process, since the data held by each participant is different, it is necessary to figure out which participant has a higher contribution to the model performance. Effective contribution assessment can …
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SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework
2025
Pre-trained Language Models (PLM) have enabled a cost-effective approach to handling various downstream applications via Parameter-Efficient-Fine-Tuning (PEFT) techniques. In this context, service providers have introduced a popular fine-tuning-based product service known as Model-as-a-Service (MaaS). This …