Abstract: Decentralized learning is a distributed learning approach, wherein clients collaborate to learn a global model. Many optimization problems that appear in signal processing and machine ...
Despite major advances in oncology, drug resistance remains one of the principal obstacles to achieving durable responses and cure in cancer patients. Both ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
Breakthrough optimization results advance fairness and transparency in global competition scheduling ST. LOUIS, MO, ...
Abstract: The coal mine integrated energy system dispatch problem (CMIES-DP) is a constrained multiobjective optimization problem (CMOP) with the characteristics of multiple objectives, ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We develop constrained nuclear-electronic orbital density functional theory (CNEO–DFT) ...
Linear solvers are major computational bottlenecks in a wide range of decision support and optimization computations. The challenges become even more pronounced on heterogeneous hardware, where ...
1 College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. 2 Shenyang Aircraft Design Institute, AVIC, Shenyang, China. The paper establishes a ...
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