Yunxin Liu

ReMoS

2022 · Proceedings of the 44th International Conference on Software Engineering

Transfer learning is a popular software reuse technique in the deep learning community that enables developers to build custom models (students) based on sophisticated pretrained models (teachers). However, like vulnerability inheritance in traditional software reuse, …

FLASH: Heterogeneity-Aware Federated Learning at Scale

2022 · IEEE Transactions on Mobile Computing

Federated learning (FL) becomes a promising machine learning paradigm. The impact of heterogeneous hardware specifications and dynamic states on the FL process has not yet been studied systematically. This paper presents the first large-scale study …

KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse

2025 · arXiv (Cornell University)

Recent advances in long-text understanding have pushed the context length of large language models (LLMs) up to one million tokens. It boosts LLMs's accuracy and reasoning capacity but causes exorbitant computational costs and unsatisfactory Time …