Concepedia

Concept

distributed learning

Parents

4.9K

Publications

340.4K

Citations

12.5K

Authors

2.1K

Institutions

About

Distributed learning is a methodological approach within machine learning and data science focused on training models or performing computations across multiple decentralized data sources or computational nodes without requiring the central aggregation of raw data. This research area investigates algorithms, communication protocols, and system designs that enable collaborative model building and data analysis while preserving data locality and privacy, addressing key challenges such as communication efficiency, data heterogeneity, security, and scalability inherent in distributed computing environments.

Top Authors

Rankings shown are based on concept H-Index.

DN

Nanyang Technological University

HV

Princeton University

AH

University of California, Los Angeles

ZH

University of Houston

QY

Hong Kong University of Science and Technology

Top Institutions

Rankings shown are based on concept H-Index.

Tsinghua University

Beijing, China

Xidian University

Xi'an, China