Liusheng Huang

PrivSet: Set-Valued Data Analyses with Locale Differential Privacy

2018

Set-valued data is useful for representing a rich family of information in numerous areas, such as market basket data of online shopping, apps on mobile phones and web browsing history. By analyzing set-valued data that …

Enhancing Federated Learning with In-Cloud Unlabeled Data

2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Federated learning (FL) has been widely applied to collaboratively train deep learning (DL) models on massive end devices (i.e., clients). Due to the limited storage capacity and high labeling cost, there are always insufficient data …

EPS Placement and Lightweight Entanglement Routing for Quantum Data Networks

2024

Entanglement routing in quantum data networks plays a vital role to support various quantum applications. Existing works on entanglement routing either ignored the Entangled Photon Source (EPS) placement issue or simply assumed a pool of …

EZchain: A Secure Scalable Blockchain Protocol via Passive Sharding

2024 · IEEE Transactions on Dependable and Secure Computing

Recently, many sharding blockchain protocols have sacrificed some important attributes to improve scalability, and this makes them complicated and insecure. Moreover, achieving a constant (rather than linear) Communication Cost Per Transaction (CCPT) is still a …

Collaborative Speculative Inference for Efficient LLM Inference Serving

2025 · arXiv (Cornell University)

Speculative inference is a promising paradigm employing small speculative models (SSMs) as drafters to generate draft tokens, which are subsequently verified in parallel by the target large language model (LLM). This approach enhances the efficiency …