Reducing Model Error Using Optimised Galaxy Selection: Weak Lensing Cluster Mass Estimation

Kavli Affiliate: Lindsey Bleem | First 5 Authors: Markus Michael Rau, Florian Kéruzoré, Nesar Ramachandra, Lindsey Bleem, | Summary: Galaxy clusters are one of the most powerful probes to study extensions of General Relativity and the Standard Cosmological Model. Upcoming surveys like the Vera Rubin Observatory’s Legacy Survey of Space and Time are expected to […]


Continue.. Reducing Model Error Using Optimised Galaxy Selection: Weak Lensing Cluster Mass Estimation

Disk Assembly of the Milky Way Suggested from the Time-resolved Chemical Abundance

Kavli Affiliate: Yingjie Peng | First 5 Authors: Enci Wang, Jianhui Lian, Yingjie Peng, Xin Wang, | Summary: Both simulations and observations suggest that the disk assembly of galaxies is governed by the interplay between coplanar gas inflow, ex-planar gas outflow and in-situ star formation on the disk, known as the leaky accretion disk. This […]


Continue.. Disk Assembly of the Milky Way Suggested from the Time-resolved Chemical Abundance

Magnetospheric origin of a fast radio burst constrained using scintillation

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Kenzie Nimmo, Ziggy Pleunis, Paz Beniamini, Pawan Kumar, Adam E. Lanman | Summary: Fast radio bursts (FRBs) are micro-to-millisecond duration radio transients that originate mostly from extragalactic distances. The emission mechanism responsible for these high luminosity, short duration transients remains debated. The models are broadly grouped […]


Continue.. Magnetospheric origin of a fast radio burst constrained using scintillation

Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Jiangkun Yang, Yongqiang He, Jia Liu, Weiping Wen | Summary: Speech recognition is an essential start ring of human-computer interaction, and recently, deep learning models have achieved excellent success in this task. However, when the model training and private data provider are always separated, some […]


Continue.. Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Jiangkun Yang, Yongqiang He, Jia Liu, Weiping Wen | Summary: Speech recognition is an essential start ring of human-computer interaction, and recently, deep learning models have achieved excellent success in this task. However, when the model training and private data provider are always separated, some […]


Continue.. Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition

A Generative Model for Realistic Galaxy Cluster X-ray Morphologies

Kavli Affiliate: Steven W. Allen | First 5 Authors: Maya Benyas, Jordan Pfeifer, Adam B. Mantz, Steven W. Allen, Elise Darragh-Ford | Summary: The X-ray morphologies of clusters of galaxies display significant variations, reflecting their dynamical histories and the nonlinear dependence of X-ray emissivity on the density of the intracluster gas. Qualitative and quantitative assessments […]


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Byzantine-Robust Decentralized Federated Learning

Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu | Summary: Federated learning (FL) enables multiple clients to collaboratively train machine learning models without revealing their private training data. In conventional FL, the system follows the server-assisted architecture (server-assisted FL), where the training process is coordinated by […]


Continue.. Byzantine-Robust Decentralized Federated Learning

Byzantine-Robust Decentralized Federated Learning

Kavli Affiliate: Jia Liu | First 5 Authors: Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu | Summary: Federated learning (FL) enables multiple clients to collaboratively train machine learning models without revealing their private training data. In conventional FL, the system follows the server-assisted architecture (server-assisted FL), where the training process is coordinated by […]


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GA-NIFS: JWST/NIRSpec IFS view of the z~3.5 galaxy GS5001 and its close environment at the core of a large-scale overdensity

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Isabella Lamperti, Santiago Arribas, Michele Perna, Bruno Rodríguez Del Pino, Chiara Circosta | Summary: We present JWST NIRSpec observations in IFS mode of the galaxy GS5001 at redshift z=3.47, the brightest member of a candidate protocluster in the GOODS-S field. The data cover a field of view […]


Continue.. GA-NIFS: JWST/NIRSpec IFS view of the z~3.5 galaxy GS5001 and its close environment at the core of a large-scale overdensity