Master Seminar (IN2107, IN4410) (2 SWS, 5 ECTS) offered for BioMedical Computing (BMC) program at the Chair for Computer Aided Medical Procedures and Augmented Reality, TU Munich
Tutors: Cosmin Bercea
Time: Fridays, 10:00 - 12:00
Following the great success of our on-going seminar on Deep Learning for Medical Applications, we would like to discuss advanced topics that are quite relevant to Federated Learning which becomes an interesting and hot research direction in the community. In simple words, Federated Learning enables training models at the client-side while preserving their privacy, and aggregates the knowledge from the nodes to learn a global model. The interesting part here that the data are kept private and not transmitted to any other nodes. Instead, the characteristics (e.g. parameters) of the global model are shared with the clients, and once the training is done locally, the characteristics are sent back to the global one for aggregation. This learning paradigm has been received quite nicely in the community, in particular, for sensitive domains, e.g. Healthcare. To push this momentum, we proposed, together with our academia and industry partners, a workshop on Federated, Collaborative, and Distributed Learning in the International Conference on Medical Image Computing and Computer-Aided Intervention (MICCAI) to attract significant contributions attacking the challenges in Medical Imaging and Healthcare. In this seminar, we will be discussing the relevant papers on Federated Learning with an emphasis on the papers tackling the common challenges in Medical Imaging, e.g. data heterogeneity, domain shift, and non-iid distributed data.
In this Master Seminar, each student is asked to send three preferences from the list, then he will be assigned one paper. In order to successfully complete the seminar, participants have to fulfill these requirements:
The students are required to attend each seminar presentation which will be held during this course. Each presentation is followed by a discussion and everyone is encouraged to actively participate. The blog post must include all references used and must be written completely in your own words. Copy and paste will not be tolerated. Both the blog post and presentation have to be written in English.
Submission Deadline: You have to submit the presentation two weeks right after your presentation session. The deadline of the blog post is set to TBD.
Guidelines: I could not find better than this guidelines to prepare for your presentation. The only difference is that you need to plan for 30 minutes for 1-4, and 10 minutes for 5). Nevertheless, I have prepared a few slides acting as a guidelines for your presentation and blog posts.
|Date||Session: Topic||Speakers / Presenters||Slides|
|05.02.2021 (11:00 AM)||Preliminary Meeting||Shadi||Slides|
|Topic||No||Title||Conference/Journal||Tutor||Student (Last name)||Link|
If you have any questions regarding the course, please do not hesitate to contact Dr. Shadi Albarqouni