Copertina

QoS-Nets: Adaptive Approximate Neural Network Inference

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Trommer, Elias, Waschneck, Bernd, Kumar, Akash
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
di: Sponner, Max, et al.
Pubblicazione: (2024)

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks
di: Sponner, Max, et al.
Pubblicazione: (2024)

SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS
di: Kumar, Suraj, et al.
Pubblicazione: (2025)

Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
di: Kumar, Suraj, et al.
Pubblicazione: (2024)

Statistical QoS Provision in Business-Centric Networks
di: Wu, Chang, et al.
Pubblicazione: (2024)

QoS-QoE Translation with Large Language Model
di: Yu, Yingjie, et al.
Pubblicazione: (2026)

Self-Augmented Mixture-of-Experts for QoS Prediction
di: Cai, Kecheng, et al.
Pubblicazione: (2026)

Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
di: Chen, Lili, et al.
Pubblicazione: (2025)

High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction
di: Chen, Zehuan, et al.
Pubblicazione: (2025)

Dual Latent State Learning: Exploiting Regional Network Similarities for QoS Prediction
di: Wang, Ziliang, et al.
Pubblicazione: (2023)

CHESTNUT: A QoS Dataset for Mobile Edge Environments
di: Zou, Guobing, et al.
Pubblicazione: (2024)

Web Service QoS Prediction via Extended Canonical Polyadic-based Tensor Network
di: Wang, Qu, et al.
Pubblicazione: (2024)

Learn to Optimize Resource Allocation under QoS Constraint of AR
di: Chen, Shiyong, et al.
Pubblicazione: (2025)

RAHN: A Reputation Based Hourglass Network for Web Service QoS Prediction
di: Chen, Xia, et al.
Pubblicazione: (2025)

Multi-agent Assessment with QoS Enhancement for HD Map Updates in a Vehicular Network
di: Redondo, Jeffrey, et al.
Pubblicazione: (2024)

Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
di: Zhang, Enming, et al.
Pubblicazione: (2025)

A Gap Between Decision Trees and Neural Networks
di: Kumar, Akash
Pubblicazione: (2026)

QoSDiff: An Implicit Topological Embedding Learning Framework Leveraging Denoising Diffusion and Adversarial Attention for Robust QoS Prediction
di: Du, Guanchen, et al.
Pubblicazione: (2025)

Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
di: Do, Nguyen, et al.
Pubblicazione: (2025)

QoS prediction in radio vehicular environments via prior user information
di: Ain, Noor Ul, et al.
Pubblicazione: (2024)

ReinWiFi: Application-Layer QoS Optimization of WiFi Networks with Reinforcement Learning
di: Li, Qianren, et al.
Pubblicazione: (2024)

QoS-Aware Graph Contrastive Learning for Web Service Recommendation
di: Choi, Jeongwhan, et al.
Pubblicazione: (2024)

Large Language Model Aided QoS Prediction for Service Recommendation
di: Liu, Huiying, et al.
Pubblicazione: (2024)

A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction
di: Liu, Wenjing, et al.
Pubblicazione: (2026)

Fuzzy Information Entropy and Region Biased Matrix Factorization for Web Service QoS Prediction
di: Tang, Guoxing, et al.
Pubblicazione: (2025)

Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
di: Zhong, Shuai, et al.
Pubblicazione: (2024)

Dynamic QoS Prediction via a Non-Negative Tensor Snowflake Factorization
di: Xia, YongHui, et al.
Pubblicazione: (2025)

Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision
di: Wang, Ziliang, et al.
Pubblicazione: (2023)

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
di: Pelleriti, Nico, et al.
Pubblicazione: (2025)

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
di: Semiari, Omid, et al.
Pubblicazione: (2025)

Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems using DRL and PSO
di: Dhuheir, Marwan, et al.
Pubblicazione: (2024)

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction
di: Wu, Hao, et al.
Pubblicazione: (2025)

MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks
di: Yayla, Mikail, et al.
Pubblicazione: (2026)

Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications
di: Song, Tailai, et al.
Pubblicazione: (2024)

QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
di: Imani, HamidReza, et al.
Pubblicazione: (2025)

Joint User Priority and Power Scheduling for QoS-Aware WMMSE Precoding: A Constrained-Actor Attentive-Critic Approach
di: Wang, Kexuan, et al.
Pubblicazione: (2025)

GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction
di: Hu, Shengxiang, et al.
Pubblicazione: (2024)

Iterative Inference in a Chess-Playing Neural Network
di: Sandmann, Elias, et al.
Pubblicazione: (2025)

QoS-Aware Dynamic CU Selection in O-RAN with Graph-Based Reinforcement Learning
di: Racedo, Sebastian, et al.
Pubblicazione: (2025)

HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees
di: Min, Youngjae, et al.
Pubblicazione: (2024)