FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025

In the evolving landscape of machine learning research, two significant developments have emerged to prominence: foundation models and federated learning.The FL@FM-TheWebConf'25 workshop provides an exciting forum for researchers and practitioners to discuss promising works and chart potential trajectories forward for this emerging field.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3717650
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025

Irwin King, Zenglin Xu, Guodong Long, Han Yu et al.
3D Modeling in Geospatial Applications
article

FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025

Irwin King, Zenglin Xu, Guodong Long, Han Yu, Yifei Zhang
article en

Abstract

In the evolving landscape of machine learning research, two significant developments have emerged to prominence: foundation models and federated learning.The FL@FM-TheWebConf'25 workshop provides an exciting forum for researchers and practitioners to discuss promising works and chart potential trajectories forward for this emerging field.

University of Technology Sydney (AU), Nanyang Technological University (SG), Chinese University of Hong Kong (HK), Fudan University (CN)
Partnerships for the goals
Openalex Percentile: Top 89%
3D Modeling in Geospatial Applications
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