Distributed Computing
ETH Zurich

Dr.
Antonio Di Maio

Antonio Di Maio

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 97
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

phone+41 44 63 39103
fax+41 44 63 21036
email

Theses & Labs

Available Theses & Labs

TitleTypeContact/SupervisorAssigned
Entanglement Optimization for Quantum Mobile NetworksB/M/SAntonio Di Maioavailable
Federated Compositional Representation LearningMGiacomo Camposampiero,
Antonio Di Maio
available
Federated Hopfield NetworksB/M/SAntonio Di Maioavailable
Federated Neural ODEs for Efficient Distributed Physical ModelingB/M/SAntonio Di Maioavailable
Label-Free Compositional GeneralizationMGiacomo Camposampiero,
Antonio Di Maio
available
Optimal Transport for Federated Learning: Bridging Semantics and Alignment through Mechanistic InterpretabilityB/M/SDenis Sutter,
Antonio Di Maio
available
Resilient Backbone Deployment under Cooperative AdversariesB/M/SAntonio Di Maioavailable
Resource-Aware Adaptive Split Learning with Reinforcement LearningB/M/SAntonio Di Maioavailable
Sparse Autoencoders for Sensitive Feature Removal in Federated LearningB/M/SDenis Sutter,
Antonio Di Maio
available
Topics in Distributed and Decentralized Artificial IntelligenceB/M/SAntonio Di Maioavailable

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Adaptive and Resilient Resource-Aware Split LearningSAntonio Di MaioFS 26
Adversarial and Adaptive Data-driven Cooperative PHY Attacks and Countermeasures for Mobile CommunicationsBAntonio Di MaioFS 26
Data-driven Coordination for Decentralized Federated Floating Radio Maps in MANETsSAntonio Di MaioFS 26
Enhancing Privacy of Communication-Efficient Policy-Exchange Processes in Multi-Environment Federated Reinforcement LearningSAntonio Di MaioFS 26
Federated Compositional LearningSAntonio Di Maio,
Giacomo Camposampiero
FS 26
Federated Neural Controlled Differential Equations for Distributed Physical ModelingBAntonio Di MaioFS 26
Federated Safety Heads for Prompt Injection Detection for Agentic LLMsSAntonio Di MaioFS 26
Federated Semi-Supervised Learning with Prototype-based Label Propagation using Iterative Graph RefinementBAntonio Di MaioFS 26
Resilient Communication-Optimal State Consensus in Jammed MANETsBAntonio Di MaioFS 26
Optimization of Multi-Agent Team Composition and Communication for Enhancing Reliability in Industrial ApplicationsMAntonio Di MaioHS 25
Scalable Awareness for Resilient Cooperative Multi-Agent MANET Deployment against JammingBAntonio Di MaioHS 25