ICFLDS
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
ICFLDS
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
federated learning
distributed machine learning
privacy-preserving AI
decentralized data science
secure multi-party computation
collaborative model training
edge AI
differential privacy
cross-device learning
data sovereignty
communication-efficient learning
secure aggregation
federated optimization
AI on mobile devices
Start Date
Tuesday, June 16, 2026
Registration Deadline
Monday, June 1, 2026
Submission Deadline
Wednesday, May 27, 2026
Manchester, United Kingdom