Johns Hopkins mathematicians introduce ‘multiplayer federated learning,” a new framework that allows independent entities to optimize their own goals while reaching good outcomes.
Recent News
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Catalyst award recognizes promising early-career faculty advancing innovative research.
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In this Q&A, Nikhil Rammohan ’09 shares how a foundation in statistics led him to impactful cancer research.
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Seeing Sound
CategoriesAn engineering student’s project explores the math behind FM synthesis to uncover what makes its tones unique.
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Grid Expectations
CategoriesAn engineering student’s project shows how localized energy networks can deliver cheaper, cleaner power to remote communities.
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Veteran researcher Fadil Santosa’s second five-year term begins July 1.
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Johns Hopkins mathematicians introduce ‘multiplayer federated learning,” a new framework that allows independent entities to optimize their own goals while reaching good outcomes.
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Innovation could accelerate research into how HIV affects memory and thinking.
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NSF CAREER award to advance scalable optimization tools to solve complex data science challenges in health care, energy, and finance.
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Smarter algorithms, less data
CategoriesJohns Hopkins researchers introduce new method to solve complex problems with minimal data, enhancing efficiency across industries.
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In this Q&A, Professor Edward Scheinerman discusses his newly published book, which focuses on the foundational nature of real numbers and their complexities.
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Department student and faculty members receive the 2024 Best Paper Award at the 38th Neural Information Processing Systems (NeurIPS) Conference.
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Adrian Severino and the Miraheart Team leverage light and simulation to revolutionize infant heart monitoring.