Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

“…Federated learning （FL） is a distributed machine learning technology that enables joint construction of machine learning models by transmitting intermediate results （e.g., model parameters, parameter gradients, embedding representation, etc.） applied to data distributed across various institutions.FL reduces the risk of privacy leakage, since raw data is not allowed to leave the institution.According to the difference in data distribution between institutions, FL is usually divided into horizontal federated learning （HFL）, vertical federated learning （VFL）, and federal transfer learning （TFL）.VFL is suitable for scenarios where institutions have the same sample space but different feature spaces and is widely used in fields such as medical diagnosis, financial and security of VFL.Although VFL performs well in real-world applications, it still faces many privacy and security challenges.To the best of our knowledge, no comprehensive survey has been conducted on privacy and security methods.The existing VFL was analyzed from four perspectives: the basic framework, communication mechanism, alignment mechanism, and label processing mechanism.Then the privacy and security risks faced by VFL and the related defense methods were introduced and analyzed.Additionally, the common data sets and indicators suitable for VFL and platform framework were presented.Considering the existing challenges and problems, the future direction and development trend of VFL were outlined, to provide a reference for the theoretical research of building an efficient, robust and safe VFL.…”
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“White Cord Syndrome” of Acute Tetraplegia after Anterior Cervical Decompression and Fusion for Chronic Spinal Cord Compression: A Case Report by Kingsley R. Chin, Jason Seale, Vanessa Cumming

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Rituximab Monotherapy in the Management of a Rare Case of an HIV Associated Lymphoproliferative Disorder by Jason Hew, Fauzia Rana, Louise Zhou

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Dispersive Sweatt Model for Broadband Lens Design with Metasurfaces by Weiyu Chen, Ko-Han Shih, C. Kyle Renshaw

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Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films by Calvin Fai, Anthony J.C. Ladd, Charles J. Hages, Gregory A. Manoukian, Jason B. Baxter

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Dilemmas in Endoscopic Management of Rectal Neuroendocrine Tumors: A Case-Based Discussion by Brian P. Rajca, Mihir S. Wagh

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Developing AI Smart Sprayer for Punch-Hole Herbicide Application in Plasticulture Production System by Renato Herrig Furlanetto, Ana Claudia Buzanini, Arnold Walter Schumann, Nathan Shawn Boyd

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The Influence of Vertical Resolution on Internal Tide Energetics and Subsequent Effects on Underwater Acoustic Propagation by L. Hiron, M. C. Schönau, K. J. Raja, E. P. Chassignet, M. C. Buijsman, B. K. Arbic, A. Bozec, E. F. Coelho, M. S. Solano

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Exploring Vocational Evaluation Practices following Traumatic Brain Injury by Christina Dillahunt-Aspillaga, Tammy Jorgensen Smith, Ardis Hanson, Sarah Ehlke, Mary Stergiou-Kita, Charlotte G. Dixon, Davina Quichocho

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Elevated and Correlated Expressions of miR-24, miR-30d, miR-146a, and SFRP-4 in Human Abdominal Adipose Tissue Play a Role in Adiposity and Insulin Resistance by Yury O. Nunez Lopez, Gabriella Garufi, Magdalena Pasarica, Attila A. Seyhan

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14-3-3 Proteins in Glutamatergic Synapses by Jiajing Zhang, Yi Zhou

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Anesthetic Related Advances with Cyclodextrins by Mark Welliver, John P. McDonough

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An approximate analytic solution of a particular boundary value problem by Ugur Tanriver, Aravinda Kar

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A Multivariate Stochastic Hybrid Model with Switching Coefficients and Jumps: Solution and Distribution by D. P. Siu, G. S. Ladde

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The Diagnosis Is in the Smear: A Case and Review of Spur Cell Anemia in Cirrhosis by Gabriella A. Raffa, Diana M. Byrnes, John J. Byrnes

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