FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik
机构
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King Abdullah University of Science and Technology (KAUST)(国王阿卜杜勒-阿齐兹大学科学与技术学院)
;
SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence (SDAIA-KAUST AI)(SDAIA-KAUST数据科学与人工智能卓越中心)
CommentsAccepted version at Transactions on Machine Learning Research (TMLR)
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
机构
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Department of Computer Science, City St. George’s, University of London(伦敦大学城市圣乔治学院计算机科学系)
;
BioMedIA, Department of Computing, Imperial College London(伦敦帝国理工学院计算系BioMedIA)
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
机构
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Tsinghua University(清华大学)
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Institute of Artificial Intelligence (TeleAI), China Telecom(人工智能研究所(TeleAI),中国电信)
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Shanghai AI Laboratory(上海人工智能实验室)
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Shanghai Jiaotong University(上海交通大学)
CommentsAccepted by Transactions on Machine Learning Research
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Michael Hagmann, Michael Staniek, Stefan Riezler
机构
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Department of Computational Linguistics(计算语言学系)
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Heidelberg University(海德堡大学)
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Department of Computational Linguistics and Interdisciplinary Center for Scientific Computing (IWR)(计算语言学系和科学计算跨学科中心)
Journal refTransactions on Machine Learning Research (TMLR), 2025
机构
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Facultad de Ingeniería Universidad de la República(工程学院拉美大学)
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Department of Electrical and Computer Engineering University of Rochester(电气与计算机工程系罗切斯特大学)
Journal refTransactions on Machine Learning Research, 2025
Jonas M Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
机构
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Amazon(亚马逊公司)
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University of California, San Diego, USA(美国加州大学圣迭戈分校)
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Max Planck Institute for Informatics, Saarbrücken, Germany(德国马克斯·普朗克信息研究所)
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Technion–Israel Institute of Technology, Haifa, Israel(以色列技术学院)
Journal refTransactions on Machine Learning Research, 2835-8856, 2025 (https://openreview.net/forum?id=AsFbXRIe4q)
FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction
Adamo Young, Fei Wang, David S Wishart, Bo Wang, Russell Greiner, Hannes Röst
机构
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Department of Computer Science, University of Toronto(计算机科学系,多伦多大学)
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Vector Institute for Artificial Intelligence(人工智能向量研究所)
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Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto(细胞和生物分子研究中心,多伦多大学)
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Department of Computing Science, University of Alberta(计算科学系,阿尔伯塔大学)
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Alberta Machine Intelligence Institute(阿尔伯塔人工智能研究所)
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Department of Biological Sciences, University of Alberta(生物科学系,阿尔伯塔大学)
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Department of Laboratory Medicine and Pathology, University of Alberta(实验室医学与病理学系,阿尔伯塔大学)
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Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta(药学与制药科学学院,阿尔伯塔大学)
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Department of Laboratory Medicine and Pathobiology, University of Toronto(实验室医学与病理学系,多伦多大学)
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Peter Munk Cardiac Centre, University Health Network(彼得·默克心脏中心,大学健康网络)
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Department of Molecular Genetics, University of Toronto(分子遗传学系,多伦多大学)
Journal refTransactions on Machine Learning Research (TMLR), 08/2025