Imagen de Portada

Towards efficient compression and communication for prototype-based decentralized learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Fernández-Piñeiro, Pablo, Ferández-Veiga, Manuel, Díaz-Redondo, Rebeca P., Fernández-Vilas, Ana, González-Soto, Martín
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
por: Martínez-Luaña, Xavier, et al.
Publicado: (2025)

Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
por: Cajaraville-Aboy, Diego, et al.
Publicado: (2024)

HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric
por: Penedo, Carlos Beis, et al.
Publicado: (2025)

Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case
por: Cajaraville-Aboy, Diego, et al.
Publicado: (2026)

A Blockchain Solution for Collaborative Machine Learning over IoT
por: Beis-Penedo, Carlos, et al.
Publicado: (2023)

Verifiable Split Learning via zk-SNARKs
por: Alaa, Rana, et al.
Publicado: (2025)

Privacy-aware Berrut Approximated Coded Computing for Federated Learning
por: Luaña, Xavier Martínez, et al.
Publicado: (2024)

Differential error feedback for communication-efficient decentralized learning
por: Nassif, Roula, et al.
Publicado: (2024)

CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
por: Cajaraville-Aboy, Diego, et al.
Publicado: (2025)

Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach
por: García-Santaclara, Pablo, et al.
Publicado: (2024)

Interplay between Cryptocurrency Transactions and Online Financial Forums
por: Vilas, Ana Fernández, et al.
Publicado: (2023)

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator
por: Bazán-Guillén, Alberto, et al.
Publicado: (2025)

Continual Learning for non-stationary regression via Memory-Efficient Replay
por: García-Santaclara, Pablo, et al.
Publicado: (2026)

From Physical to Logical: Graph-State-Based Connectivity in Quantum Networks
por: Blanco, Mateo M., et al.
Publicado: (2025)

Simulation of fidelity in entanglement-based networks with repeater chains
por: Castro, David Pérez, et al.
Publicado: (2024)

LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication
por: Liu, Wei, et al.
Publicado: (2026)

Continual Learning at the Edge: An Agnostic IIoT Architecture
por: García-Santaclara, Pablo, et al.
Publicado: (2025)

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

ROSS: RObust decentralized Stochastic learning based on Shapley values
por: Wang, Lina, et al.
Publicado: (2024)

Gibbs randomness-compression proposition: An efficient deep learning
por: Süzen, M.
Publicado: (2025)

Purification Strategy Optimization for Entanglement Routing in Quantum Networks
por: Peñas, Javier Vecino, et al.
Publicado: (2026)

Machine learning-based decentralized TDMA for VLC IoT networks
por: Makvandi, Armin, et al.
Publicado: (2023)

Simulation of entanglement based quantum networks for performance characterization
por: Castro, David Pérez, et al.
Publicado: (2025)

A survey on secure decentralized optimization and learning
por: Liu, Changxin, et al.
Publicado: (2024)

CNFP: Optimizing Cloud-Native Network Function Placement with Diffusion Models on the Cloud Continuum
por: Rodríguez, Álvaro Vázquez, et al.
Publicado: (2025)

On the effects of similarity metrics in decentralized deep learning under distributional shift
por: Zec, Edvin Listo, et al.
Publicado: (2024)

Personalized federated prototype learning in mixed heterogeneous data scenarios
por: Zeng, Jiahao, et al.
Publicado: (2025)

Signal attenuation enables scalable decentralized multi-agent reinforcement learning over networks
por: Suttle, Wesley A, et al.
Publicado: (2025)

Artificial Agency Program: Curiosity, compression, and communication in agents
por: Csaky, Richard
Publicado: (2026)

Reinforcement learning for inverse structural design and rapid laser cutting of kirigami prototypes
por: Yazdani, Milad, et al.
Publicado: (2026)

Mamba base PKD for efficient knowledge compression
por: Medina, José, et al.
Publicado: (2025)

Spherical Boltzmann machines: a solvable theory of learning and generation in energy-based models
por: Tulinski, Thomas, et al.
Publicado: (2026)

Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space
por: Qin, Jason, et al.
Publicado: (2024)

Capturing waste collection planning expert knowledge in a fitness function through preference learning
por: Díaz, Laura Fernández, et al.
Publicado: (2024)

Towards efficient representation identification in supervised learning
por: Ahuja, Kartik, et al.
Publicado: (2022)

Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
por: Yuwono, Steve, et al.
Publicado: (2024)

An interpretable prototype parts-based neural network for medical tabular data
por: Karolczak, Jacek, et al.
Publicado: (2026)

Benchmarking local Hebbian learning rules for memory storage and prototype extraction
por: Lansner, Anders, et al.
Publicado: (2026)

Accelerating prototype selection with spatial abstraction
por: Carbonera, Joel Luís
Publicado: (2024)

Noise-based reward-modulated learning
por: Fernández, Jesús García, et al.
Publicado: (2025)