Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Uslu, Yigit Berkay, NaderiAlizadeh, Navid, Eisen, Mark, Ribeiro, Alejandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach
by: Uslu, Yiğit Berkay, et al.
Published: (2024)
by: Uslu, Yiğit Berkay, et al.
Published: (2024)
Learning State-Augmented Policies for Information Routing in Communication Networks
by: Das, Sourajit, et al.
Published: (2023)
by: Das, Sourajit, et al.
Published: (2023)
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
by: Das, Sourajit, et al.
Published: (2025)
by: Das, Sourajit, et al.
Published: (2025)
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
by: Elenter, Juan, et al.
Published: (2023)
by: Elenter, Juan, et al.
Published: (2023)
Stochastic Unrolled Federated Learning
by: Hadou, Samar, et al.
Published: (2023)
by: Hadou, Samar, et al.
Published: (2023)
Generative Diffusion Models for Resource Allocation in Wireless Networks
by: Uslu, Yigit Berkay, et al.
Published: (2025)
by: Uslu, Yigit Berkay, et al.
Published: (2025)
Robust Stochastically-Descending Unrolled Networks
by: Hadou, Samar, et al.
Published: (2023)
by: Hadou, Samar, et al.
Published: (2023)
Graph Signal Diffusion Models for Wireless Resource Allocation
by: Uslu, Yigit Berkay, et al.
Published: (2026)
by: Uslu, Yigit Berkay, et al.
Published: (2026)
Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks
by: Chen, Xingran, et al.
Published: (2024)
by: Chen, Xingran, et al.
Published: (2024)
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
by: Chen, Xingran, et al.
Published: (2026)
by: Chen, Xingran, et al.
Published: (2026)
Wireless Link Scheduling with State-Augmented Graph Neural Networks
by: Camargo, Romina Garcia, et al.
Published: (2025)
by: Camargo, Romina Garcia, et al.
Published: (2025)
Graph Signal Generative Diffusion Models
by: Uslu, Yigit Berkay, et al.
Published: (2025)
by: Uslu, Yigit Berkay, et al.
Published: (2025)
Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
by: Chen, Lili, et al.
Published: (2025)
by: Chen, Lili, et al.
Published: (2025)
A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands
by: Behmandpoor, Pourya, et al.
Published: (2023)
by: Behmandpoor, Pourya, et al.
Published: (2023)
AL-CoLe: Augmented Lagrangian for Constrained Learning
by: Boero, Ignacio, et al.
Published: (2025)
by: Boero, Ignacio, et al.
Published: (2025)
Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
by: Chen, Lili, et al.
Published: (2025)
by: Chen, Lili, et al.
Published: (2025)
To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks
by: Raina, Rashika, et al.
Published: (2025)
by: Raina, Rashika, et al.
Published: (2025)
Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
by: Giwa, Oluwaseyi, et al.
Published: (2025)
by: Giwa, Oluwaseyi, et al.
Published: (2025)
Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications
by: Onalan, Aysun Gurur, et al.
Published: (2024)
by: Onalan, Aysun Gurur, et al.
Published: (2024)
A Context Augmented Multi-Play Multi-Armed Bandit Algorithm for Fast Channel Allocation in Opportunistic Spectrum Access
by: Li, Ruiyu, et al.
Published: (2026)
by: Li, Ruiyu, et al.
Published: (2026)
AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation
by: Guler, Berkay, et al.
Published: (2025)
by: Guler, Berkay, et al.
Published: (2025)
Latency Minimization for UAV-Enabled Federated Learning: Trajectory Design and Resource Allocation
by: Zhang, Xuhui, et al.
Published: (2024)
by: Zhang, Xuhui, et al.
Published: (2024)
Learning Latent Wireless Dynamics from Channel State Information
by: Chaaya, Charbel Bou, et al.
Published: (2024)
by: Chaaya, Charbel Bou, et al.
Published: (2024)
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
by: Xiao, Bingnan, et al.
Published: (2024)
by: Xiao, Bingnan, et al.
Published: (2024)
Distributed Training of Large Graph Neural Networks with Variable Communication Rates
by: Cervino, Juan, et al.
Published: (2024)
by: Cervino, Juan, et al.
Published: (2024)
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation
by: Tong, Jingwen, et al.
Published: (2024)
by: Tong, Jingwen, et al.
Published: (2024)
Wireless Resource Allocation with Collaborative Distributed and Centralized DRL under Control Channel Attacks
by: Wang, Ke, et al.
Published: (2024)
by: Wang, Ke, et al.
Published: (2024)
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop
by: Scheidt, Fabian, et al.
Published: (2024)
by: Scheidt, Fabian, et al.
Published: (2024)
Sampling and Uniqueness Sets in Graphon Signal Processing
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)
Everywhere Learning: Artificial Intelligence with Pointwise Constraints
by: Boero, Ignacio, et al.
Published: (2026)
by: Boero, Ignacio, et al.
Published: (2026)
BIONIX: A Wireless, Low-Cost Prosthetic Arm with Dual-Signal EEG and EMG Control
by: Kumar, Pranesh Sathish
Published: (2025)
by: Kumar, Pranesh Sathish
Published: (2025)
Dual-Path Region-Guided Attention Network for Ground Reaction Force and Moment Regression
by: Li, Xuan, et al.
Published: (2025)
by: Li, Xuan, et al.
Published: (2025)
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
by: Elsayed, Nelly, et al.
Published: (2024)
by: Elsayed, Nelly, et al.
Published: (2024)
A Multi-Task Foundation Model for Wireless Channel Representation Using Contrastive and Masked Autoencoder Learning
by: Guler, Berkay, et al.
Published: (2025)
by: Guler, Berkay, et al.
Published: (2025)
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
by: Nuri, Itai, et al.
Published: (2024)
by: Nuri, Itai, et al.
Published: (2024)
Robust Processing and Learning: Principles, Methods, and Wireless Applications
by: Wang, Shixiong, et al.
Published: (2026)
by: Wang, Shixiong, et al.
Published: (2026)
Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
by: Mortada, Hassan, et al.
Published: (2025)
by: Mortada, Hassan, et al.
Published: (2025)
A Reinforcement Learning Framework for Resource Allocation in Uplink Carrier Aggregation in the Presence of Self Interference
by: Bodempudi, Jaswanth, et al.
Published: (2025)
by: Bodempudi, Jaswanth, et al.
Published: (2025)
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks
by: Gholizadeh, Navid, et al.
Published: (2024)
by: Gholizadeh, Navid, et al.
Published: (2024)
Biased Over-the-Air Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)
Similar Items
-
Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach
by: Uslu, Yiğit Berkay, et al.
Published: (2024) -
Learning State-Augmented Policies for Information Routing in Communication Networks
by: Das, Sourajit, et al.
Published: (2023) -
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
by: Das, Sourajit, et al.
Published: (2025) -
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
by: Elenter, Juan, et al.
Published: (2023) -
Stochastic Unrolled Federated Learning
by: Hadou, Samar, et al.
Published: (2023)