most citedPrototype of deployment of Federated Learning with IoT devices

11 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Towards efficient compression and communication for prototype-based decentralized learning

Pablo Fernández-Piñeiro, Manuel Ferández-Veiga, Rebeca P. Díaz-Redondo +2

In prototype-based federated learning, the exchange of model parameters between clients and the master server is replaced by transmission of prototypes or quantized versions of the…

quant-ph20247 cited

Simulation of fidelity in entanglement-based networks with repeater chains

David Pérez Castro, Ana Fernández Vilas, Manuel Fernández-Veiga +2

We implement a simulation environment on top of NetSquid that is specifically designed for estimating the end-to-end fidelity across a path of quantum repeaters or quantum switches…

cs.LG20241 cited

Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach

Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca P. Díaz-Redondo

Continual learning (CL) poses the important challenge of adapting to evolving data distributions without forgetting previously acquired knowledge while consolidating new knowledge.…

q-fin.GN202411 cited

Interplay between Cryptocurrency Transactions and Online Financial Forums

Ana Fernández Vilas, Rebeca P. Díaz Redondo, Daniel Couto Cancela +1

Cryptocurrencies are a type of digital money meant to provide security and anonymity while using cryptography techniques. Although cryptocurrencies represent a breakthrough and pro…

cs.AI202311 cited

Prototype of deployment of Federated Learning with IoT devices

Pablo García Santaclara, Ana Fernández Vilas, Rebeca P. Díaz Redondo

In the age of technology, data is an increasingly important resource. This importance is growing in the field of Artificial Intelligence (AI), where sub fields such as Machine Lear…