Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...
Cavite 2nd district Rep. Lani Mercado-Revilla is putting her foot down on social media algorithms that funnel potentially harmful content to children and ...
GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...
By a News Reporter-Staff News Editor at Insurance Daily News-- Research findings on Managed Care are discussed in a new report. The news correspondents obtained a quote from the research from Oregon ...
The consultation paper proposes strict oversight of algorithmic trading to curb volatility, manipulation, and system risks. The key takeaway is enhanced accountability and transparency without ...
Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...
Abstract: This paper discusses formulations and algorithms which allow a number of agents to collectively solve problems involving both (non-convex) minimization and (concave) maximization operations.
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