Seminar: Communication and Distributed Systems

Organization

  • Supervision: Prof. Dr. Torsten Braun
  • Coordination: Dr. Eric Samikwa
  • Time: Every Monday, from 13:15 to 15:00
  • Location: Room 111, Engehalde E8
  • ILIAS page

Prerequisite

Basic knowledge in computer networks as e.g., obtained in the bachelor lecture Computer Networks.

Target Group

BA/MSc students doing a thesis in the CDS group, Ph.D. students, and postdocs of the CDS group.

Content

The seminar is composed of presentations about current research topics that are investigated in the context of Ph.D./Postdoc research activities.

Attendance

Each presenter must prepare three questions about the content of the presentation. The other students will have to attend the talk and upload the answers to the talk's questions on ILIAS before the following Thursday at 23:55 to have their attendance accounted for.

Remarks

  • For BA/MSc students who need ECTS points, they may take the seminar as „Proseminar“ or a Master seminar respectively. In this case, the students must give at least one talk and a topic must be agreed upon with the seminar supervisor beforehand. Seminar topics are distributed in the first week of the semester.
  • The participation of 80% of the seminar talks is also needed to qualify for ECTS points. Excuses for important reasons (according to article 23 RSL) are accepted, proof is required in such cases. It is mandatory to attend the first class of the semester.
  • Presentation titles should be announced no later than 1 week before the presentation. The presenters must forward their slides to the coordinator for publication on ILIAS before their presentation. Please use the Uni Bern template to prepare your presentation.
  • Seminar talks last 20 minutes, followed by a 10-minute Q&A session.

Schedule of the Autumn Semester 2025

 

-
 Date Name  Title 

15.09.2025

Ivonne Nunez

Explainable and Personalized Federated Transfer Learning for Energy Forecasting in Smart Homes

22.09.2025

Xing Hexu


Fabrice Marggi



Ilyas Woo

A Floating Named Network for XR Environment

Federated Spatio-Temporal Learning Framework for Cross-Modal Transport Predictions extended with exogenous data

Evaluation of forwarding Strategies in Named Data Networking: A Simulation Based Approach

29.09.2025

Xu Zimu


Sabyasachi Banik

Distributed Machine Learning for Psychological Monitoring


Energy-Efficient Federated Transfer Learning via Adaptive Model Scaling and Channel Attention

6.10.2025

Yamshid Farhat


Klemens Schneider (KIT)

Innovative Network Planning with Advanced Machine Learning


Packet-Based Organization of Electric Power Flows

13.10.2025

(no seminar)

(no seminar)

20.10.2025 (no seminar)
(no seminar)
27.10.2025

Dimitris Xenakis

Sun Mingjing


3.11.2025

Sajedeh Norouzi

Jinxuan Chen


10.11.2025

Eric Samikwa

Marcio Moraes Lopes


17.11.2025 Solomon Wassie
Elham Hasheminezhad

24.11.2025

Gao Chuyang

Liteanu Cosmin


1.12.2025

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8.12.2025

Patrick Hammler

Kavinaya Kumarchokkappan


15.12.2025

Kian Sahafi

Ghulam Hussain Wabil