Publication

Protecting Privacy through Distributed Computation in Multi-agent Decision Making

Related publications (72)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Protecting Privacy through Distributed Computation in Multi-agent Decision Making

Graph Chatbot

Chat with Graph Search

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Differentially private multi-agent constraint optimization

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Not Yet Another Digital ID: Privacy-Preserving Humanitarian Aid Distribution

Simulating intra-household interactions for in- and out-of-home activity scheduling

Simulating intra-household interactions for in- and out-of-home activity scheduling

Differentially Private Multi-Agent Constraint Optimization

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

Verifiable Encodings for Secure Homomorphic Analytics

Differentially private multi-agent constraint optimization

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Differentially Private Multi-Agent Constraint Optimization

Simulating intra-household interactions for in- and out-of-home activity scheduling

Not Yet Another Digital ID: Privacy-Preserving Humanitarian Aid Distribution

Simulating intra-household interactions for in- and out-of-home activity scheduling

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Verifiable Encodings for Secure Homomorphic Analytics

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees