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8 papers · 2 filters
CoPHo: Classifier-guided Conditional Topology Generation with Persistent Homology
Gongli Xi, Ye Tian, Mengyu Yang +5
The structure of topology underpins much of the research on performance and robustness, yet available topology data are typically scarce, necessitating the generation of synthetic…
SRLR: Symbolic Regression based Logic Recovery to Counter Programmable Logic Controller Attacks
Hao Zhou, Suman Sourav, Binbin Chen +1
Programmable Logic Controllers (PLCs) are critical components in Industrial Control Systems (ICSs). Their potential exposure to external world makes them susceptible to cyber-attac…
PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
Ye Tian, Chengcheng Wang, Jing Han +2
As Large Language Models (LLMs) continue to grow in size, storing and transmitting them on edge devices becomes increasingly challenging. Traditional methods like quantization and…
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
Xiyu Zhao, Qimei Cui, Weicai Li +5
Personalized federated learning (PFL), e.g., the renowned Ditto, strikes a balance between personalization and generalization by conducting federated learning (FL) to guide persona…
Neural Normalized Cut: A Differential and Generalizable Approach for Spectral Clustering
Wei He, Shangzhi Zhang, Chun-Guang Li +3
Spectral clustering, as a popular tool for data clustering, requires an eigen-decomposition step on a given affinity to obtain the spectral embedding. Nevertheless, such a step suf…
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
Zeyu Jiang, Hai Huang, Xingquan Zuo
Deep reinforcement learning (DRL) has successfully addressed many complex control problems. However, the neural networks representing policies or values remain opaque, undermining…