BENEFRI 2022 Summer School
Many thanks to all participants !
The school has been a real success with 19 very interesting presentations, a lot of questions, 37 participants in total. The traditional hike was also very successful and attracted 29 brave hikers (picture above) !
Looking forward to the next edition, which will be organised by UNINE !
Program
Monday August 29th |
|
| 14h00 – 14h15 | Welcome |
| 14h15 – 15h30 | Security – chair : Adrian Holzer
|
| 15h30 – 15h50 | Coffee-break |
| 15h50 – 17h05 | Federated Learning – chair : Antonio Di Maio
|
| 17h05 – 17h15 | Break |
| 17h15 – 18h15 | BOF session |
| 19h15 – | Dinner |
Tuesday August 30th |
|
| 7h30 – 8h10 | Breakfast |
| 8h25 | Bus departs for the hike |
| 8h40 – 11h30 | Hike to Lac Bleu |
| 12h00 – 13h45 | Lunch |
| 13h45 | Departure for the hike (bus departs at 15h00 from Arolla, poste)
Machine learning – chair : Jean Hennebert
|
| 15h00 – 15h15 | Break |
| 14h50 – 16h30 | Radio and wireless – chair : Jean-Frédéric Wagen
|
| 16h30 – 16h45 | Break |
Reinforcement learning – chair : Torsten Braun
|
|
| 19h15 | Dinner |
Wednesday August 31th |
|
| 7h30 – 8h30 | Breakfast |
| 8h45 – 10h00 | Misc – chair : Marcelo Pasin
|
| 10h00 – 10h15 | Coffee-break |
| 10h15 – 11h30 | Image processing – chair : Beat Wolf
|
| 11h30 – 11h40 | Closing remarks |
| 12h10 | Bus leaves Arolla, poste |
What ?
The BENEFRI workshop, on the subject of distributed systems with their applications to HPC, Big Data, simulation and AI, will take place in 2022, under the organization of the HEIA-FR (Fribourg – Sébastien Rumley)
When ?
The workshop will start on August 29th at 13h30 and will end on August 31rd, 12h00.
Where ?
Grand Hotel & Kurhaus Chemin de la Forêt 6 1986 Arolla
https://www.grandhotelkurhaus.com
To get there, there is “Car Postal” who can bring you into Arolla village (stop “Arolla, poste”). From there, there is a 5-10 min walk to the hôtel. Below a typical schedule from Sion to get there on time (with some extra time for check-in and getting settled) :
If this schedule is too early for you, two options :
- There is another relation that will bring you to Arolla, poste at 14h. But then you will miss the first presentation(s)
- There is a bus arriving at 12h35 at “Les Haudères”. From there you might be able to find an arrangement with a participant with a car (15min ride). If this option is interesting but you know nobody, write to sebastien.rumley -at- hefr.ch
You can also come by car. Leave the highway at “Sion, Est” and follow the itinerary below. Mind that it will take you around 50min to get there…
Participants
To register to the workshop (and book your accommodation), please contact Sébastien Rumley (Sebastien.rumley@hefr.ch) who will include you to a group address.
Here are the (tentative) prices for two nights, two dinners, one lunch + seminar room :
- Single room : CHF 444
- Shared room : CHF 314
Room allocation
Final room numbers will be communicated later
Double rooms :
| Room 1 – 103 |
|
| Room 2 – 106 |
|
| Room 3 – 206 |
|
| Room 4 – 216 |
|
| Room 5 – 219 |
|
| Room 6 – 212 |
|
| Room 7 – 208 |
|
| Room 8 – 116 |
|
| Room 9 – 217 |
|
| Room 10 – 210 |
|
| Room 11 – 218 |
|
| Room 12 – 119 |
|
| Room 13 – 118 |
|
Quad rooms :
| Room 1 – girls – 102 |
|
| Room 2 – UNINE – 202 |
|
| Room 3 – UNIBE – 203 |
|
| Room 4 – UNIBE – 204 |
|
| Room 5 – UNIBE – 306 |
|
| Room 6 – HEIA – 304 |
|
Food restrictions
Vegetarian :
- Frederic Montet
- Oussama Zayene
- Rémi Dulong
- Mina Aghaei Dinani
Confirmed participants (39 to date, 17 seniors and 22 students) :
UNINE – Seniors:
- Pascal Felber
- Marcelo Pasin
- Peter Kropf
- Valerio Schiavoni
- Adrian Holzer
- Vladimir Macko
- Baptiste Lepers
UNINE – Students:
- James Menetrey – A retrospective of TEEs and WebAssembly, where are we? – security, trusted execution, WebAssembly, survey
- Peterson Yuhala – SecureL : enclave code partitioning via multi-language secure types – security, programming languages, Intel SGX
- Rémi Dulong – NVLPC : Using NVMM as a Linux Page Cache – Architecture, Non-volatile Main Memory (NVMM), Intel Optane DCPMM
- Pasquale Derosa – On the Use of Machine Learning Techniques to Forecast Cryptocoin Time Series – time series, cryptocoins, machine learning.
- Simon Queyrut – Shielding Transformers to mitigate Evasion Attacks in Federated Learning – Deep Learning, Adversarial attacks, Federated Learning, Trusted Execution Environment.
- Romain Claret – Toward solving complex problems with scalable pools of partial human-like intelligence expert agents – ill-structured problems, machine learning, psychological biases, neocortex architecture
- Panagiotis Gkikopoulos – Voting-Based Mitigation of Quality Issues in Distributed Data – voting algorithms, data quality, redundancy, IoT
HEIA – Seniors:
- Sébastien Rumley
- Jean Hennebert
- Pierre Kuonen
- Jean-Frédéric Wagen
- Oussama Zayene
- Beat Wolf
- Christophe Gisler
HEIA – Students:
- Yann Maret – On routing, scheduling, machine learning for realistic MANETs: work in progress -MANETs, Routing, Scheduling, TDMA, RL, Emulation.
- Linda Studer – Using Graph Neural Networks for risk assessment in early-stage colorectal cancer patients – Graph-based Analysis, Graph Neural Networks, Colorectal Cancer, Digital Pathology
- Michael Jungo – Detection, Segmentation and Vectorisation of Handwritten Text in Images – Document Analysis, Digitisation, Computer Vision
- Frédéric Montet – Energy Performance Estimation For Large Building Portfolios With Machine Learning-Based Techniques – Refurbishment strategies, applied machine learning, energy, Energy performance certificates
UNIBE – Seniors:
- Torsten Braun
- Antonio Di Maio
UNIBE – Students:
- Alisson Medeiros – Mitigating E2E latency for future mobile VR applications – Mobile Communication, QoS, VR streams.
- Lucas Pacheco – Vehicular Federated Learning and Neural Network Similarity – Federated Learning, Vehicular Networks, Machine Learning
- Maria Hrabosova – Networking for Immersive Communications – Optimization; Immersive Communications; Mobile Communications;
- Eric Samikwa – Adaptive Resource-Aware Split Learning for Internet of Things – Split learning, Federated learning, IoT, Edge computing, Distributed machine learning
- Negar Emami – INTRAFORCE: Intra-Cluster Reinforced Social Transformer for Trajectory Prediction – Social Trajectory Prediction, Transformer Neural Networks, Reinforcement Learning.
- Yemshid Farhat Quinones – Towards dynamic electric distribution networks – smart grids; local linear optimization; reinforcement learning
- Jesutofunmi Ajayi – Online Admission Control for Softwarized 5G Mobile Networks – Admission Control, Network Slicing, Online Algorithms.
- Jakob Schaerer – Auditable Internet of Things – Internet of Things, Security, Distributed Ledger
- Hexu Xing – Object Tracking with Attention Mechanism in Viewport Prediction of 360 video Streaming – Object Tracking; Attention Mechanism; 360 Video Streaming
- Dimitris Xenakis – Anchor-Free Cooperative Localization using Ultra-Wideband – Indoor Positioning; Mesh ranging; UWB
- Patric Hammler – Multi-Echelon Inventory Optimization with Deep Reinforcement Learning – Supply Chain Optimization, Inventory Management, Reinforcement Learning
HEVS – Seniors:
- Gianluca Rizzo
HEVS – Students:
- Mina Aghaei Dinani – A Gossip Learning Approach to Urban Trajectory Nowcasting for Anticipatory RAN Management – Gossip learning, trajectory prediction, wireless communication, RAN management.