Concepedia

Concept

federated learning

Parents

5.1K

Publications

360.5K

Citations

14K

Authors

2.2K

Institutions

About

Federated learning is a distributed machine learning paradigm that enables multiple decentralized clients to collaboratively train a shared model without exchanging their local data. This research field investigates algorithms and systems for iterative model aggregation, secure communication, and privacy preservation, facilitating the development of robust models from sensitive, geographically dispersed datasets while maintaining data locality and minimizing data transfer.

Top Authors

Rankings shown are based on concept H-Index.

DN

Nanyang Technological University

QY

Hong Kong University of Science and Technology

HV

Princeton University

ZH

University of Houston

MG

Qatar University

Top Institutions

Rankings shown are based on concept H-Index.

Tsinghua University

Beijing, China

Xidian University

Xi'an, China