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Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：66/24  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 319-330
作者:  Alessandro Giuseppi;  Sabato Manfredi;  Antonio Pietrabissa
Adobe PDF(1462Kb)  |  收藏  |  浏览/下载：49/18  |  提交时间：2024/04/23
Federated learning (FedL)  deep learning  federated averaging (FedAvg)  machine learning (ML)  artificial intelligence  discrete-time consensus  distributed systems