Cover Image

Quantizing Small-Scale State-Space Models for Edge AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Leo, Torchet, Tristan, Payvand, Melika, Kriener, Laura, Moro, Filippo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units
by: Billaudelle, Sebastian, et al.
Published: (2025)

A Linear Implementation of an Analog Resonate-and-Fire Neuron
by: Liu, Angqi, et al.
Published: (2025)

The Role of Temporal Hierarchy in Spiking Neural Networks
by: Moro, Filippo, et al.
Published: (2024)

mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling
by: Torchet, Tristan, et al.
Published: (2025)

Unified Memcapacitor-Memristor Memory for Synaptic Weights and Neuron Temporal Dynamics
by: D'Agostino, Simone, et al.
Published: (2025)

Quantization-Aware Collaborative Inference for Large Embodied AI Models
by: Lyu, Zhonghao, et al.
Published: (2026)

Unfolding Target Detection with State Space Model
by: Yu, Luca Jiang-Tao, et al.
Published: (2024)

FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-low Power Microcontroller
by: Tegon, Anna, et al.
Published: (2026)

Bayesian Learning in a Nonlinear Multiscale State-Space Model
by: Vélez-Cruz, Nayely, et al.
Published: (2024)

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
by: Bhirangi, Raunaq, et al.
Published: (2024)

Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models
by: Liu, Chuanhong, et al.
Published: (2025)

EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification
by: Gui, Yiyu, et al.
Published: (2024)

Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection
by: Wang, Xiancheng, et al.
Published: (2025)

PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model
by: Suzuki, Shuntaro, et al.
Published: (2026)

NeuroSSM: Multiscale Differential State-Space Modeling for Context-Aware fMRI Analysis
by: Genç, Furkan, et al.
Published: (2026)

SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
by: Skorik, Sergey, et al.
Published: (2024)

NORACL: Neurogenesis for Oracle-free Resource-Adaptive Continual Learning
by: Raghunathan, Karthik Charan, et al.
Published: (2026)

A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
by: Barbieri, Luca, et al.
Published: (2023)

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
by: Lin, Zhidi, et al.
Published: (2025)

Robust Filtering and Learning in State-Space Models: Skewness and Heavy Tails Via Asymmetric Laplace Distribution
by: Yu, Yifan, et al.
Published: (2025)

Quantized symbolic time series approximation
by: Carson, Erin, et al.
Published: (2024)

Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment
by: Huang, Jiayi, et al.
Published: (2025)

Learning Representations for CSI Adaptive Quantization and Feedback
by: Rizzello, Valentina, et al.
Published: (2022)

CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces
by: Kianfar, Ghazaleh, et al.
Published: (2025)

Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer
by: Hamadouche, Anis, et al.
Published: (2026)

Communication-Efficient Edge AI: Algorithms and Systems
by: Shi, Yuanming, et al.
Published: (2020)

Sparse Optimization for Green Edge AI Inference
by: Yang, Xiangyu, et al.
Published: (2020)

Communication-Efficient Multi-Modal Edge Inference via Uncertainty-Aware Distributed Learning
by: Zhao, Hang, et al.
Published: (2026)

Privacy-Preserving Quantized Federated Learning with Diverse Precision
by: Nguyen, Dang Qua, et al.
Published: (2025)

GPT2MEG: Quantizing MEG for Autoregressive Generation
by: Csaky, Richard, et al.
Published: (2024)

Rate-Constrained Quantization for Communication-Efficient Federated Learning
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

Learning the relative composition of EEG signals using pairwise relative shift pretraining
by: Sandino, Christopher, et al.
Published: (2025)

Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change
by: Vemula, Sreenath, et al.
Published: (2025)

Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading
by: Zhou, You, et al.
Published: (2025)

AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model
by: Jiao, Tianyu, et al.
Published: (2025)

Edge Large AI Models: Revolutionizing 6G Networks
by: Wang, Zixin, et al.
Published: (2025)

S7: Selective and Simplified State Space Layers for Sequence Modeling
by: Soydan, Taylan, et al.
Published: (2024)

TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
by: Hwang, Younghye, et al.
Published: (2025)

BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression
by: Cui, Mingzhe, et al.
Published: (2026)

On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025)