Distributed Computing
ETH Zurich

Florian Grötschla

Florian Grötschla

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 63
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

phone+41 44 63 24448
fax+41 44 63 21036
email

Publications

Theses & Labs

Available Theses & Labs

TitleTypeContact/SupervisorAssigned
Distributed and Federated Reinforcement Learning (3)M/SXiaofeng Flint Fan,
Florian Grötschla
available

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Algorithmic Problems for GNNsBJoël Mathys,
Florian Grötschla
FS 23
Asynchronous GNNsGJoël Mathys,
Florian Grötschla
FS 23
Bring Your Own Idea: Music, Artists, and GraphsSLuca Lanzendörfer,
Florian Grötschla
FS 23
CLRS - Understanding GNNs through AlgorithmsMJoël Mathys,
Florian Grötschla
FS 23
Recurrent Graph Transformers for Algorithmic ProblemsSFlorian Grötschla,
Joël Mathys
FS 23
Simulation of Physical Systems with GNNsBFlorian Grötschla,
Joël Mathys
FS 23
Challenging Code Search Models through Semantic AttacksSPeter Belcák,
Florian Grötschla
HS 22
Code Completion Through Graph RepresentationsSPeter Belcák,
Florian Grötschla
HS 22

Past Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Bitcoin Lightning Network Statistics and On-Chain Analysis [confidential]BFlorian Grötschla,
Lioba Heimbach
HS 22
Challenging the Lexical Focus of Code Search [confidential]SPeter Belcák,
Florian Grötschla
HS 22
Decentralized Federated Policy Gradient with Provably Fast Convergence and Byzantine Fault Tolerance [confidential]SXiaofeng Flint Fan,
Florian Grötschla
HS 22
Efficient Graph Drawing with GNNs using Overlay Graphs [confidential]BFlorian Grötschla,
Joël Mathys
HS 22
Exploring Graph Neural Networks and Hierarchical Structures for Traffic ForecastingBJoël Mathys,
Florian Grötschla
HS 22
SSA Data Flow Information for Semantic Code Tasks [confidential]BPeter Belcák,
Florian Grötschla
FS 22
Inconvenient Data Sets for Graph Neural Networks [confidential]BBéni Egressy,
Florian Grötschla
FS 22
Unreasonable Effectiveness of Edge Features: Formalization and Applications of Edge Pre-coloring in Color Refinement [confidential]SBéni Egressy,
Florian Grötschla
FS 22
Algorithm Learning from DataBPeter Belcák,
Florian Grötschla
FS 22
Benchmarking Graph Neural Network Models [confidential]SBéni Egressy,
Florian Grötschla
FS 22