Image de couverture de livre

Time-Varying Optimization for Streaming Data Via Temporal Weighting

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Abrar, Muhammad Faraz Ul, Michelusi, Nicolò, Larsson, Erik G.
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Systems and Control Signal Processing Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Decentralized Time-Varying Optimization for Streaming Data via Temporal Weighting
par: Abrar, Muhammad Faraz Ul, et autres
Publié: (2026)

Non-Convex Over-the-Air Heterogeneous Federated Learning: A Bias-Variance Trade-off
par: Abrar, Muhammad Faraz Ul, et autres
Publié: (2025)

Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach
par: Davydov, Alexander, et autres
Publié: (2023)

Biased Over-the-Air Federated Learning under Wireless Heterogeneity
par: Abrar, Muhammad Faraz Ul, et autres
Publié: (2024)

A physics-informed Bayesian optimization method for rapid development of electrical machines
par: Asef, Pedram, et autres
Publié: (2025)

Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
par: Sharma, Arun K., et autres
Publié: (2021)

Deficient Excitation in Parameter Learning
par: Cao, Ganghui, et autres
Publié: (2025)

Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
par: Abrar, Muhammad Faraz Ul, et autres
Publié: (2024)

Biased Federated Learning under Wireless Heterogeneity
par: Abrar, Muhammad Faraz Ul, et autres
Publié: (2025)

STAR-RIS-Assisted Hybrid NOMA mmWave Communication: Optimization and Performance Analysis
par: Abrar, Muhammad Faraz Ul, et autres
Publié: (2022)

DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
par: He, Chuan, et autres
Publié: (2025)

A Level Set Approach to Online Sensing and Trajectory Optimization with Time Delays
par: Kirchner, Matthew R.
Publié: (2019)

Discretized Distributed Optimization over Dynamic Digraphs
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2023)

Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Invertibility of Discrete-Time Linear Systems with Sparse Inputs
par: Poe, Kyle, et autres
Publié: (2024)

Space-Time Adaptive Processing for radars in Connected and Automated Vehicular Platoons
par: Esmaeilbeig, Zahra, et autres
Publié: (2023)

Protection Against Graph-Based False Data Injection Attacks on Power Systems
par: Morgenstern, Gal, et autres
Publié: (2023)

Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach
par: Yeganeh, Rahman Saadat, et autres
Publié: (2024)

Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles
par: Pougkakiotis, Spyridon, et autres
Publié: (2024)

Concentration inequalities for semidefinite least squares based on data
par: Fabiani, Filippo, et autres
Publié: (2025)

Inverse Cubature and Quadrature Kalman filters
par: Singh, Himali, et autres
Publié: (2023)

Inverse Unscented Kalman Filter
par: Singh, Himali, et autres
Publié: (2023)

Inverse Particle Filter
par: Singh, Himali, et autres
Publié: (2024)

Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization
par: LaBash, Beck, et autres
Publié: (2025)

Anderson acceleration for iteratively reweighted $\ell_1$ algorithm
par: Li, Kexin
Publié: (2024)

PoLAR: Polar-Decomposed Low-Rank Adapter Representation
par: Lion, Kai, et autres
Publié: (2025)

A New Class of Path-Following Method for Time-Varying Optimization with Optimal Parametric Function
par: Amidzadeh, Mohsen
Publié: (2022)

Uplink Pilot and Data Power Control for Single Cell Massive MIMO Systems with MRC
par: Cheng, Hei Victor, et autres
Publié: (2015)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2025)

Forecasting in the presence of scale-free noise
par: Kryhin, Serhii, et autres
Publié: (2026)

Probabilistic Formulations for System Identification of Linear Dynamics with Bilinear Observation Models
par: Liu, Diyou, et autres
Publié: (2025)

Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications
par: Gokhale, Anand, et autres
Publié: (2024)

Randomized Greedy Methods for Weak Submodular Sensor Selection with Robustness Considerations
par: Kaya, Ege C., et autres
Publié: (2024)

Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design
par: Xu, Xiaoxia, et autres
Publié: (2025)

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm
par: Das, Souvik, et autres
Publié: (2026)

Constrained Parameter Update Law for Adaptive Control
par: Dani, Ashwin P.
Publié: (2025)

Differentially Private Distributed Mismatch Tracking Algorithm for Constraint-Coupled Resource Allocation Problems
par: Wu, Wenwen, et autres
Publié: (2022)

Fast and Efficient Estimation of Resonant Modes: A Case Study of Mechanical Drivelines
par: Rezaeizadeh, Amin, et autres
Publié: (2024)

Two-Way Coding in Control Systems Under Injection Attacks: From Attack Detection to Attack Correction
par: Fang, Song, et autres
Publié: (2019)