On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters with Communication Contention

Kavli Affiliate: Jia Liu | First 5 Authors: Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu, | Summary: Powered by advances in deep learning (DL) techniques, machine learning and artificial intelligence have achieved astonishing successes. However, the rapidly growing needs for DL also led to communication- and resource-intensive distributed training jobs for large-scale DL training, […]


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DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting

Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]


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Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys

Kavli Affiliate: John Reynolds, Kenneth Miller | Authors: Alessandro Sanzeni, Agostina Palmigiano, Tuan H Nguyen, Junxiang Luo, Jonathan J Nassi, John H Reynolds, Mark H Histed, Kenneth D Miller and Nicolas Brunel | Summary: The ability to observe the response of neural circuits to controlled optogenetic perturbations opens an unprecedented window into the mechanisms governing […]


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CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation

Kavli Affiliate: Biao Huang | First 5 Authors: Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin | Summary: Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is crucial for brain tumor diagnosis, cancer management and research purposes. With the great success of the ten-year BraTS challenges as well as the advances of […]


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Demonstrating scalable randomized benchmarking of universal gate sets

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jordan Hines, Marie Lu, Ravi K. Naik, Akel Hashim, Jean-Loup Ville | Summary: Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal […]


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Adaptive Random Fourier Features Kernel LMS

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang | Summary: We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS). Like most kernel adaptive filters based on stochastic gradient descent, this algorithm uses a preset number of random Fourier features to save computation cost. […]


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Sugar sensation and mechanosensation in the egg-laying preference shift of Drosophila suzukii

Kavli Affiliate: John Carlson | Authors: Wanyue Wang, Hany K M Dweck, Gaëlle J.S. Talross, Ali Zaidi, Joshua M Gendron and John R Carlson | Summary: The agricultural pest Drosophila suzukii differs from most other Drosophila species in that it lays eggs in ripe, rather than overripe, fruit. Previously we showed that changes in bitter […]


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Rewiring Dynamics of Functional Connectome in Motor Cortex during Motor Skill Learning

Kavli Affiliate: Takaki Komiyama | Authors: Saber Meamardoost, Eunjung Hwang, Mahasweta Bhattacharya, Chi Ren, Linbing Wang, Claudia Mewes, Ying Zhang, Takaki Komiyama and Rudiyanto Gunawan | Summary: The brain’s connectome continually rewires throughout the life of an organism. In this study, we sought to elucidate the operational principles of such rewiring by analyzing the functional […]


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Controlling Andreev bound states with the magnetic vector potential

Kavli Affiliate: Srijit Goswami | First 5 Authors: Christian M. Moehle, Prasanna K. Rout, Nayan A. Jainandunsing, Dibyendu Kuiri, Chung Ting Ke | Summary: Tunneling spectroscopy measurements are often used to probe the energy spectrum of Andreev bound states (ABSs) in semiconductor-superconductor hybrids. Recently, this spectroscopy technique has been incorporated into planar Josephson junctions (JJs) […]


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TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents

Kavli Affiliate: Cheng Peng | First 5 Authors: Zhanzhan Cheng, Peng Zhang, Can Li, Qiao Liang, Yunlu Xu | Summary: Recently, automatically extracting information from visually rich documents (e.g., tickets and resumes) has become a hot and vital research topic due to its widespread commercial value. Most existing methods divide this task into two subparts: […]


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