MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

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Abstract: This paper presents a novel gradient compression method for federated learning (FL) in wireless systems. The proposed method centers on a low-rank matrix factorization strategy for local ...

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Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: We propose a novel decomposition framework for the distributed optimization of Difference Convex (DC)-type nonseparable sum-utility functions subject to coupling convex constraints. A major ...

The arrival of Yuan Gujie, the new deputy director of Beijing’s liaison office in Hong Kong, has sparked widespread speculation. Her legal background and experience in Guangdong province suggest that ...

Carla Tardi is a technical editor and digital content producer with 25+ years of experience at top-tier investment banks and money-management firms. Thomas J. Brock is a CFA and CPA with more than 20 ...