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 Dense Associative NetworksMAntonio Di Maioavailable
Federated Neural ODEs for Efficient Distributed Physical ModelingB/M/SAntonio Di Maioavailable
Label-Free Compositional GeneralizationM/SGiacomo Camposampiero,
Antonio Di Maio
available
Optimal Transport for Federated Learning: Bridging Semantics and Alignment through Mechanistic InterpretabilityMDenis Sutter,
Antonio Di Maio
available
Resilient Backbone Deployment under Cooperative AdversariesM/SAntonio Di Maioavailable
Resource-Aware Adaptive Split Learning with Reinforcement LearningB/M/SAntonio Di Maioavailable
Sparse Autoencoders for Sensitive Feature Removal in Federated LearningMDenis 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
Alignment Optimization between SAE through MonosemanticityBDenis Sutter,
Antonio Di Maio
FS 26
Byzantine Micro-Split LearningSAntonio Di MaioFS 26
Data-driven Coordination for Decentralized Federated Floating Radio Maps in MANETsBAntonio Di MaioFS 26
Enhancing Optimization for Label-Free Federated Compositional LearningSAntonio Di Maio,
Giacomo Camposampiero
FS 26
Enhancing Privacy of Communication-Efficient Policy-Exchange Processes in Multi-Environment Federated Reinforcement LearningSAntonio Di MaioFS 26
Federated DifflogicBAntonio Di MaioFS 26
Federated Hopfield NetworksBAntonio Di MaioFS 26
Federated Learning with Adaptive Quantization Using Optimal Transport and Weight ImportanceSDenis Sutter,
Antonio Di Maio
FS 26
Federated Multi-Agent Reinforcement Learning with Low-Latency Logical Policies under Heterogeneous EnvironmentsBAntonio Di MaioFS 26
Federated Neural Architecture SearchBAntonio Di MaioFS 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
Incentive Protocols for Decentralized Federated Learning in High-Churn NetworksBAntonio Di MaioFS 26
Label-Free Compositional GeneralizationBGiacomo Camposampiero,
Antonio Di Maio
FS 26
On the Role of Encoder and Decoder Expressiveness in SAE Feature AlignmentSDenis Sutter,
Antonio Di Maio
FS 26
Optimal Transport for Model Merging under the Linear Representation HypothesisBDenis Sutter,
Antonio Di Maio
FS 26
Physical- and Media-Access-Control-Layer Optimization in Quantum Mobile NetworksSAntonio Di MaioFS 26
Probabilistic Attribute Invariant Networks and Compositionally-Weighted Conformal Prediciton for Uncertainty Quantification in Compositional LearningSGiacomo Camposampiero,
Antonio Di Maio
FS 26
Recursive Reasoning in Multi-Agent Reinforcement LearningBAntonio Di MaioFS 26
Resilient Communication-Optimal State Consensus in Jammed MANETsBAntonio Di MaioFS 26
Robust Multi-Agent Adversarial Policies in Jammed MANETsSAntonio Di MaioFS 26
Splittable Neural Architecture SearchBAntonio 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