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 |
Two-Way-Ranging-Based Cooperative Localization with an Open UWB Dataset from Bern-University FAST: Resource-aware Floating AI Services for Mobile Mixed Reality Networks |
| 3.11.2025 | Sajedeh Norouzi Jinxuan Chen |
Subspace-Based Pilot Decontamination and Channel Estimation in Distributed MIMO Reinforced Split-Federated Learning for Multi-Modal Beamforming in IoV |
| 10.11.2025 | Eric Samikwa Marcio Moraes Lopes |
Energy-Aware Split AI in 6G Networks Hierarchical Split Federated Learning for Scalable Training across the Cloud Continuum |
| 17.11.2025 | Solomon Wassie Elham Hasheminezhad |
Hierarchical Deep Reinforcement Learning for SFC Composition and Placement in 6G Networks Privacy-Preserving Federated Reinforcement Learning in 6G Radio Access Network Orchestration |
| 24.11.2025 | Gao Chuyang Liteanu Cosmin |
Game theory for 360° Video Edge Caching Managing Efficiency and Privacy in Split Learning within the Cloud Continuum |
| 1.12.2025 | (no seminar) | (no seminar) |
| 8.12.2025 | Patrick Hammler Kavinaya Kumarchokkappan |
|
| 15.12.2025 | Kian Sahafi Ghulam Hussain Wabil Vaibhav Motwani |