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Private agent-based modeling
The practical utility of agent-based models in decision-making relies on their capacity to
accurately replicate populations while seamlessly integrating real-world data streams. Yet …
accurately replicate populations while seamlessly integrating real-world data streams. Yet …
Making Privacy-preserving Federated Graph Analytics with Strong Guarantees Practical (for Certain Queries)
Privacy-preserving federated graph analytics is an emerging area of research. The goal is to
run graph analytics queries over a set of devices that are organized as a graph while …
run graph analytics queries over a set of devices that are organized as a graph while …
Making privacy-preserving federated graph analytics practical (for certain queries)
Privacy-preserving federated graph analytics is an emerging area of research. The goal is to
run graph analytics queries over a set of devices that are organized as a graph while …
run graph analytics queries over a set of devices that are organized as a graph while …
PRISC: privacy-preserved pandemic infection risk computation through cellular-enabled IoT devices
The pandemics, such as COVID-19 are worldwide health risks and result in catastrophic
impacts on the global economy. To prevent the spread of pandemics, it is critical to trace the …
impacts on the global economy. To prevent the spread of pandemics, it is critical to trace the …
Making Federated Analytics With Strong Privacy Practical
K Liu - 2024 - search.proquest.com
Federated analytics, a way to perform analysis without collecting the raw data in a central
place, has many applications nowadays. For example, Google trains next-word prediction …
place, has many applications nowadays. For example, Google trains next-word prediction …
Smarter Agents for Agent-Based Models
NG Kuru - 2024 - dspace.mit.edu
Agent-based models (ABMs) are powerful tools for decision-making due to their ability to
simulate systems with individual-level granularity. Recent advances have mitigated the …
simulate systems with individual-level granularity. Recent advances have mitigated the …