Author

Zi-Mu Zhou

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Jul 2026

MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents

The MemLens is presented, a value-aware memory management system that takes memory records as first-class data objects and can serve as an efficient, interpretable, and personalized long-term memory management system for agents.

Shuyue Wei, Chang Liu, Zi-Mu Zhou et al. · Proceedings of the VLDB Endo... · 0 citations

#machine learning Preprint Jan 2026

Federated Personalization of Early-Exit Networks

X-FED is proposed, a novel Conflict-Aware Cross-Client Federated Exit Distillation framework that jointly addresses both client- and depth-wise conflicts while extending PFL to early-exit networks and introduces a client-decoupled formulation that reduces communication overhead with theoretical soundness.

Boyi Liu, Zimu Zhou, Cheng Fang et al. · 0 citations