:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Miri, Soroosh, Abolhasani, Sepehr, Farahmand, Shahrokh, Razavizadeh, S. Mohammad
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2602.22794
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach
por: Asadian-Rad, Hamidreza, et al.
Publicado: (2025)

Integrated Sensing, Communication, and Powering (ISCAP) for IoT: A Joint Beamforming Design
por: Ahmadabadi, Maryam Asadi, et al.
Publicado: (2025)

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
por: Ochiai, Hideya, et al.
Publicado: (2024)

Differentially Private Clipped-SGD: High-Probability Convergence with Arbitrary Clipping Level
por: Khah, Saleh Vatan, et al.
Publicado: (2025)

ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
por: Wu, Binghui, et al.
Publicado: (2023)

Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks
por: Lahoud, Samer, et al.
Publicado: (2025)

Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices
por: Zhang, Lu, et al.
Publicado: (2025)

Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments
por: Kanneganti, Deepak, et al.
Publicado: (2025)

Recommending Pre-Trained Models for IoT Devices
por: Patil, Parth V., et al.
Publicado: (2024)

SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
por: Waqas, Ali, et al.
Publicado: (2025)

Prediction Model of Aqua Fisheries Using IoT Devices
por: Islam, Md. Monirul
Publicado: (2025)

DevPiolt: Operation Recommendation for IoT Devices at Xiaomi Home
por: Wang, Yuxiang, et al.
Publicado: (2025)

Predict Training Data Quality via Its Geometry in Metric Space
por: Ba, Yang, et al.
Publicado: (2025)

Large Language Models for Real-World IoT Device Identification
por: Mahmood, Rameen, et al.
Publicado: (2025)

Real-Time Adaptive Anomaly Detection in Industrial IoT Environments
por: Raeiszadeh, Mahsa, et al.
Publicado: (2026)

Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
por: Kim, Kangmin, et al.
Publicado: (2026)

Sensor-Aware Classifiers for Energy-Efficient Time Series Applications on IoT Devices
por: Hussein, Dina, et al.
Publicado: (2024)

Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
por: Mainuddin, Md, et al.
Publicado: (2024)

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
por: Sami, Md. Sad Abdullah, et al.
Publicado: (2025)

Adaptive Source-Channel Coding for Semantic Communications
por: Li, Dongxu, et al.
Publicado: (2025)

Evasion of IoT Malware Detection via Dummy Code Injection
por: Zargarzadeh, Sahar, et al.
Publicado: (2026)

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks
por: Ahsan, Mohammad Shamim, et al.
Publicado: (2026)

Tureis: Transformer-based Unified Resilience for IoT Devices in Smart Homes
por: Borhani, Alireza, et al.
Publicado: (2026)

FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
por: Lai, Phung, et al.
Publicado: (2025)

LUT-Compiled Kolmogorov-Arnold Networks for Lightweight DoS Detection on IoT Edge Devices
por: Kuznetsov, Oleksandr
Publicado: (2026)

DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
por: Han, Lixiang, et al.
Publicado: (2024)

Merino: Entropy-driven Design for Generative Language Models on IoT Devices
por: Zhao, Youpeng, et al.
Publicado: (2024)

Doubly Adaptive Social Learning
por: Carpentiero, Marco, et al.
Publicado: (2025)

Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
por: Diab, Ali, et al.
Publicado: (2025)

Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
por: Mugisha, Stanley, et al.
Publicado: (2025)

Smart Surveillance: Identifying IoT Device Behaviours using ML-Powered Traffic Analysis
por: Ryan, Reza, et al.
Publicado: (2025)

Designing Short-Stage CDC-XPUFs: Balancing Reliability, Cost, and Security in IoT Devices
por: Li, Gaoxiang, et al.
Publicado: (2024)

IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation
por: Sun, Mingchun, et al.
Publicado: (2026)

Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks
por: Alve, Shahran Rahman, et al.
Publicado: (2025)

Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices
por: Molina, Romina Soledad, et al.
Publicado: (2025)

Occlusion-Ordered Semantic Instance Segmentation
por: Baselizadeh, Soroosh, et al.
Publicado: (2025)

FedCCA: Client-Centric Adaptation against Data Heterogeneity in Federated Learning on IoT Devices
por: Wang, Kaile, et al.
Publicado: (2026)

Hetero-SplitEE: Split Learning of Neural Networks with Early Exits for Heterogeneous IoT Devices
por: Oda, Yuki, et al.
Publicado: (2025)

Beyond Predefined Schemas: TRACE-KG for Context-Enriched Knowledge Graphs from Complex Documents
por: Abolhasani, Mohammad Sadeq, et al.
Publicado: (2026)

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