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The Limits of Two-Party Differential PrivacyWe study differential privacy in a distributed setting where two parties would like to perform analysis of their joint data ...
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Real-Time Automated Modeling and Control of Self-Assembling SystemsWe present the M<sup>3</sup> framework, a formal and generic computational framework for modeling and controlling stochastic distributed systems of purely ...
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Randomly Distributed Delayed Communication and Coherent Swarm PatternsPreviously we showed how delay communication between globally coupled self-propelled agents causes new spatio-temporal patterns to arise when the delay ...
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Low-Cost Collaborative Localization for Large-Scale Multi-Robot SystemsLarge numbers of collaborating robots are advantageous for solving distributed problems. In order to efficiently solve the task at hand, ...
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Machine Learning in Google GogglesMachine Learning in Google Goggles
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Scaling Deep LearningWe have recently started investigating how to scale deep learning techniques to much larger models in an effort to improve ...
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