Selected papers from the FL@FM 2024 workshop series (FL@FM-TheWebConf'24, FL@FM-ICME'24, FL@FM-IJCAI'24 and FL@FM-NeurIPS'24) have been invited for publication as book chapters in the Lecture Notes in Artificial Intelligence (LNAI) - Federated Learning with Foundation Models.

Authors should consult Springer's authors' instructions and use the proceedings templates for LaTeX to prepare the chapters. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a License-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Page limit: up to 16 pages including figures and references, etc.

If you are interested in Open Access or Open Choice, please refer to our webpage for prices and additional information. We would need the invoicing address and the CC-BY licence-to-publish agreement at the same time as the files for the publication.

We will continue to use the FL@FM-IJCAI'24 easychair submission site: https://easychair.org/conferences/?conf=flfm-ijcai-24. If you are an existing FL@FM-IJCAI'24 author, instead of creating a new submission, please re-use the same submission for your FL@FM-IJCAI'24 paper to upload your book chapter file. Please upload both the PDF file of the chapter as well as a zip file containing all the Latex source files you use to compile the PDF file. Your License-to-Publish form should also be included in the zip file.

For enquiries, please email us: flfm-ijcai-24@easychair.org