Work

FedRAL: Cost-Effective Distributed Annotation via Federated Reinforced Active Learning

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10930759

Authors: Yannis Lazaridis, Anestis Kastellos, Athanasios Psaltis, Petros Daras

Institution: Centre for Research and Technology Hellas

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: European Commission

Award: ARtificial IntelligencE in fighting illicit drugs production and traffickiNg

OpenAlex ID: W4408611509

FWCI:

Cites: 53

Cited by:

Related to: 10