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Federated Learning Events in 2024

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FLAWR 2024 : Federated Learning Applications in the Real World

 Xanthi, Greece
When: Jun 5, 2024 - Jun 6, 2024 Submission Deadline: Mar 15, 2024
Following a data protection by design principle, federated learning has emerged as a more privacy-friendly machine learning paradigm for independent actors to collaboratively train a machine learning...
PRIVACY   MACHINE LEARNING   FEDERATED LEARNING   APPLICATIONS  

FL@FM-ICME 2024 : International Workshop on Federated Learning and Foundation Models for Multi-Media

 Niagara Falls, ON, Canada
When: Jul 15, 2024 - Jul 19, 2024 Submission Deadline: Mar 23, 2024
[Call for Papers] • Foundation models (FMs) are typically associated with large language models (LLMs), like ChatGPT, and are characterized by their scale and broad applicability. While these m...
ARTIFICIAL INTELLIGENCE   MACHINE LEARNING   FEDERATED LEARNING   FOUNDATION MODELS  



ICMLA 2024 : 23rd International Conference on Machine Learning and Applications

 Miami, Florida
When: Dec 18, 2024 - Dec 20, 2024 Submission Deadline: Jul 31, 2024
ICMLA 2024 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML). • The conference provides a leading in...
MACHINE LEARNING   BAYESIAN NETWORKS   FEDERATED LEARNING   NEURAL NETWORKS  

FL-ICME 2024 : ICME'24 Special Session on Trustworthy Federated Learning for Multimedia

 Niagara Falls, ON, Canada
When: Jul 15, 2024 - Jul 19, 2024 Submission Deadline: Dec 30, 2023
As artificial intelligence (AI) research advances, the key obstacle to widespread AI adoption has shifted from technical challenges to gaining stakeholders' trust. Building AI techniques that are fai...
ARTIFICIAL INTELLIGENCE   MACHINE LEARNING   FEDERATED LEARNING   FOUNDATION MODELS  

FL@FM-IJCNN 2024 : IJCNN'24 Special Session on Trustworthy Federated Learning: in the Era of Foundation Models

 Yokohama, Japan
When: Jun 30, 2024 - Jul 5, 2024 Submission Deadline: Jan 15, 2024
Federated Learning (FL) is an emerging machine learning paradigm that allows multiple end-users to collaboratively train models without sharing their private data. Existing FL frameworks are undergoi...
ARTIFICIAL INTELLIGENCE   MACHINE LEARNING   FEDERATED LEARNING   FOUNDATION MODELS  

FL@FM-TheWebConf 2024 : International Workshop on Federated Foundation Models for the Web 2024

 Singapore
When: May 14, 2024 - May 14, 2024 Submission Deadline: Feb 5, 2024
[Call for Papers] • Foundation models (FMs) are typically associated with large language models (LLMs), like ChatGPT, and are characterized by their scale and broad applicability. While these m...
ARTIFICIAL INTELLIGENCE   MACHINE LEARNING   FEDERATED LEARNING   FOUNDATION MODELS  

FLEDGE 2024 : Federated Learning on the Edge

 Stanford, CA
When: Mar 25, 2024 - Mar 27, 2024 Submission Deadline: Jan 12, 2024
Computational intelligence bears the prospect of a trendsetting technology able to unlock solutions to previously difficult and large-scale problems outside of the current cloud-centric paradigm. In ...
FEDERATED LEARNING   EDGE AI   DISTRIBUTED LEARNING   DISTRIBUTED NETWORKS  




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