:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Croisfelt, Victor, Pandey, Shashi Raj, Simeone, Osvaldo, Popovski, Petar
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2311.08053
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Greedy Shapley Client Selection for Communication-Efficient Federated Learning
by: Singhal, Pranava, et al.
Published: (2023)

Real-Time Inference for Distributed Multimodal Systems under Communication Delay Uncertainty
by: Croisfelt, Victor, et al.
Published: (2025)

Privacy-Aware Data Acquisition under Data Similarity in Regression Markets
by: Pandey, Shashi Raj, et al.
Published: (2023)

Online Reliable Anomaly Detection via Neuromorphic Sensing and Communications
by: Shiraishi, Junya, et al.
Published: (2025)

Prediction-Powered Communication with Distortion Guarantees
by: Zecchin, Matteo, et al.
Published: (2025)

Conformal Data Contamination Tests for Trading or Sharing of Data
by: Vejling, Martin V., et al.
Published: (2025)

Online Continual Learning for Anomaly Detection in IoT under Data Distribution Shifts
by: Marinova, Matea, et al.
Published: (2026)

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints
by: Zhu, Meiyi, et al.
Published: (2024)

Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
by: Cohen, Kfir M., et al.
Published: (2023)

Multi-Agent Conformal Prediction with Personalized Statistical Validity
by: Vejling, Martin V., et al.
Published: (2026)

Post-Selection Distributional Model Evaluation
by: Farzaneh, Amirmohammad, et al.
Published: (2026)

Ensuring Reliability via Hyperparameter Selection: Review and Advances
by: Farzaneh, Amirmohammad, et al.
Published: (2025)

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
by: Farzaneh, Amirmohammad, et al.
Published: (2025)

Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
by: Farzaneh, Amirmohammad, et al.
Published: (2025)

Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
by: Zhu, Meiyi, et al.
Published: (2026)

EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models
by: Thorsager, Mathias, et al.
Published: (2024)

Variational Quantum Integrated Sensing and Communication
by: Nikoloska, Ivana, et al.
Published: (2025)

Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024)

Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication
by: Wang, Xiyu, et al.
Published: (2025)

Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
by: Zecchin, Matteo, et al.
Published: (2024)

Batch Bayesian Active Learning with Partial Batch Label Sampling
by: Hu, Kangping, et al.
Published: (2025)

Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization
by: Sifaou, Houssem, et al.
Published: (2025)

Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing
by: Simeone, Osvaldo
Published: (2026)

Quantize-Sample-and-Verify: LLM Acceleration via Adaptive Edge-Cloud Speculative Decoding
by: Zhang, Guangyi, et al.
Published: (2025)

Time-constrained Federated Learning (FL) in Push-Pull IoT Wireless Access
by: Bui, Van Phuc, et al.
Published: (2024)

Coexistence of Push Wireless Access with Pull Communication for Content-based Wake-up Radios
by: Shiraishi, Junya, et al.
Published: (2024)

TinyAirNet: TinyML Model Transmission for Energy-efficient Image Retrieval from IoT Devices
by: Shiraishi, Junya, et al.
Published: (2023)

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

Generative Network Layer for Communication Systems with Artificial Intelligence
by: Thorsager, Mathias, et al.
Published: (2023)

Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning
by: Cui, Guofeng, et al.
Published: (2026)

Calibration-Aware Bayesian Learning
by: Huang, Jiayi, et al.
Published: (2023)

Statistically Valid Information Bottleneck via Multiple Hypothesis Testing
by: Farzaneh, Amirmohammad, et al.
Published: (2024)

Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
by: Farzaneh, Amirmohammad, et al.
Published: (2025)

Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization
by: Farzaneh, Amirmohammad, et al.
Published: (2024)

Wireless Memory Approximation for Energy-efficient Task-specific IoT Data Retrieval
by: Shiraishi, Junya, et al.
Published: (2025)

Localized Adaptive Risk Control
by: Zecchin, Matteo, et al.
Published: (2024)

Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective
by: Simeone, Osvaldo, et al.
Published: (2025)

Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
by: Chen, Jiechen, et al.
Published: (2025)

Scheduling for On-Board Federated Learning with Satellite Clusters
by: Razmi, Nasrin, et al.
Published: (2024)

Online Conformal Compression for Zero-Delay Communication with Distortion Guarantees
by: Ganesan, Unnikrishnan Kunnath, et al.
Published: (2025)