Cover Image

Stochastic Unrolled Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hadou, Samar, NaderiAlizadeh, Navid, Ribeiro, Alejandro
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Stochastically-Descending Unrolled Networks
by: Hadou, Samar, et al.
Published: (2023)

Learning State-Augmented Policies for Information Routing in Communication Networks
by: Das, Sourajit, et al.
Published: (2023)

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
by: Chen, Xingran, et al.
Published: (2026)

Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression
by: Uslu, Yigit Berkay, et al.
Published: (2025)

Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach
by: Uslu, Yiğit Berkay, et al.
Published: (2024)

Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
by: Elenter, Juan, et al.
Published: (2023)

Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks
by: Chen, Xingran, et al.
Published: (2024)

Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
by: Das, Sourajit, et al.
Published: (2025)

Wireless Link Scheduling with State-Augmented Graph Neural Networks
by: Camargo, Romina Garcia, et al.
Published: (2025)

Generative Diffusion Models for Resource Allocation in Wireless Networks
by: Uslu, Yigit Berkay, et al.
Published: (2025)

Unrolled Neural Networks for Constrained Optimization
by: Hadou, Samar, et al.
Published: (2026)

Unrolled Graph Neural Networks for Constrained Optimization
by: Hadou, Samar, et al.
Published: (2025)

Graph Signal Generative Diffusion Models
by: Uslu, Yigit Berkay, et al.
Published: (2025)

Graph Signal Diffusion Models for Wireless Resource Allocation
by: Uslu, Yigit Berkay, et al.
Published: (2026)

A Constrained Optimization Perspective of Unrolled Transformers
by: Porras-Valenzuela, Javier, et al.
Published: (2026)

Joint Data Inpainting and Graph Learning via Unrolled Neural Networks
by: Batreddy, Subbareddy, et al.
Published: (2024)

Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
by: Mazzieri, Riccardo, et al.
Published: (2023)

Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling
by: Schynol, Lukas, et al.
Published: (2024)

AL-CoLe: Augmented Lagrangian for Constrained Learning
by: Boero, Ignacio, et al.
Published: (2025)

Sampling and Uniqueness Sets in Graphon Signal Processing
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

Everywhere Learning: Artificial Intelligence with Pointwise Constraints
by: Boero, Ignacio, et al.
Published: (2026)

Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
by: Lang, Natalie, et al.
Published: (2024)

Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast
by: Qi, Ji, et al.
Published: (2025)

LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport
by: Shahbazi, Ashkan, 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)

Federated learning compression designed for lightweight communications
by: Ribeiro, Lucas Grativol, et al.
Published: (2023)

Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
by: Do, Tam Thuc, et al.
Published: (2024)

Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
by: Battiloro, Claudio, et al.
Published: (2023)

An Innovative Networks in Federated Learning
by: Bozorgasl, Zavareh, et al.
Published: (2024)

Convolutional Filtering with RKHS Algebras
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

Generalization of Graph Neural Networks is Robust to Model Mismatch
by: Wang, Zhiyang, et al.
Published: (2024)

Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
by: Wang, Zhiyang, et al.
Published: (2024)

Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
by: Agorio, Leopoldo, et al.
Published: (2025)

FLoCoRA: Federated learning compression with low-rank adaptation
by: Ribeiro, Lucas Grativol, et al.
Published: (2024)

Learned Digital Codes for Over-the-Air Federated Learning
by: Tarizzo, Antonio, et al.
Published: (2025)

Solving Large-scale Spatial Problems with Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2023)

Learning Networks from Wide-Sense Stationary Stochastic Processes
by: Rayas, Anirudh, et al.
Published: (2024)

Constrained Sliced Wasserstein Embedding
by: NaderiAlizadeh, Navid, et al.
Published: (2025)

Federated Contrastive Learning for Personalized Semantic Communication
by: Wang, Yining, et al.
Published: (2024)

Decentralized Federated Learning With Energy Harvesting Devices
by: Zhang, Kai, et al.
Published: (2026)