Research on federated learning approach based on local differential privacy by Haiyan KANG, Yuanrui JI

“…As a type of collaborative machine learning framework, federated learning is capable of preserving private data from participants while training the data into useful models.Nevertheless, from a viewpoint of information theory, it is still vulnerable for a curious server to infer private information from the shared models uploaded by participants.To solve the inference attack problem in federated learning training, a local differential privacy federated learning (LDP-FL) approach was proposed.Firstly, to ensure the federated model training process was protected from inference attacks, a local differential privacy mechanism was designed for transmission of parameters in federated learning.Secondly, a performance loss constraint mechanism for federated learning was proposed and designed to reduce the performance loss of local differential privacy federated model by optimizing the constraint range of the loss function.Finally, the effectiveness of proposed LDP-FL approach was verified by comparative experiments on MNIST and Fashion MNIST datasets.…”
Get full text

Hydrolysis Reactions of p-Nitrophenyl Trifluoroacetate and S-Ethyl Trifluorothioacetate by Jack B. Suggs, Joshua J. Melko

Get full text

MicroRNAs in Development by Danielle Maatouk, Brian D. Harfe

Get full text

Backdoor defense method in federated learning based on contrastive training by Jiale ZHANG, Chengcheng ZHU, Xiang CHENG, Xiaobing SUN, Bing CHEN

“…In response to the inadequacy of existing defense methods for backdoor attacks in federated learning to effectively remove embedded backdoor features from models, while simultaneously reducing the accuracy of the primary task, a federated learning backdoor defense method called ContraFL was proposed, which utilized contrastive training to disrupt the clustering process of backdoor samples in the feature space, thereby rendering the global model classifications in federated learning independent of the backdoor trigger features.Specifically, on the server side, a trigger generation algorithm was developed to construct a generator pool to restore potential backdoor triggers in the training samples of the global model.Consequently, the trigger generator pool was distributed to the participants by the server, where each participant added the generated backdoor triggers to their local samples to achieve backdoor data augmentation.Experimental results demonstrate that ContraFL effectively defends against various backdoor attacks in federated learning, outperforming existing defense methods.…”
Get full text

Editorial: Review of hyperbaric therapy & hyperbaric oxygen therapy in the treatment of neurological disorders according to dose of pressure and hyperoxia by Paul G. Harch, Paul G. Harch, George Mychaskiw, John H. Zhang, Dominic P. D'Agostino, Keith Van Meter, Enrico M. Camporesi

Get full text

Refractory Epistaxis due to Severe Factor V Deficiency with Inhibitor by Elizabeth S. John, Minesh D. Patel, Julio Hajdenberg

Get full text

Prevalence and characteristics of gastrointestinal disorders, medication use, and diagnostic interventions in pediatric patients with cystic fibrosis: a nested case–control analysi... by Carolena Trocchia, Carolena Trocchia, Maua Mosha, Bailey Hamner, Neil Goldenberg, Racha Khalaf

Get full text

A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study by Blake Callahan, Darwin Ang, Huazhi Liu

Get full text

Very Early-Onset Inflammatory Bowel Disease (VEO-IBD) Presenting with Recurrent Leukocytoclastic Vasculitis Preceded by Streptococcal Pharyngitis by Ashley Fonseca, Julee Sunny, Lina M. Felipez

Get full text

Attitudes toward Management of Sickle Cell Disease and Its Complications: A National Survey of Academic Family Physicians by Arch G. Mainous, Rebecca J. Tanner, Christopher A. Harle, Richard Baker, Navkiran K. Shokar, Mary M. Hulihan

Get full text

Bone measurements interact with phenotypic measures in canine Duchenne muscular dystrophy by Sarah M. Schneider, Macie L. Mackey, Savannah Wilkinson, Lee-Jae Guo, Peter P. Nghiem

“…DMD patients have reduced bone health, including decreased femur length (FL), density, and fractures. The mdx mouse model has paradoxically greater FL, density, and strength, positively correlating with muscle mass. …”
Get full text

Evaluation of Root-End Resections Performed by Er, Cr: YSGG Laser with and without Placement of a Root-End Filling Material by John Sullivan, Roberta Pileggi, Claudio Varella

Get full text

Activity of Various Cathepsin Proteases and Enrichment of Klotho Protein in the Urine and Urinary Extracellular Vesicles After SARS-CoV-2 Infection by Niharika Bala, Ramish H. Rafay, Sarah C. Glover, Abdel A. Alli

Get full text

A single-surgeon experience with the internal joint stabilizer of the elbow across 56 cases by John J. Heifner, MD, Gagan Grewal, MD, Christopher J. Castagno, MD, Gil Gontre, MD

Get full text

Advances in Stem Cell Therapy for Huntington’s Disease: A Comprehensive Literature Review by Siddharth Shah, Hadeel M. Mansour, Brandon Lucke-Wold

Get full text

Cross-Cultural Validation of the English Chronic Pain Myth Scale in Emergency Nurses by Geraldine Martorella, Anaïs Lacasse, Michelle Kostic, Glenna Schluck

Get full text

A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

Get full text

Impact of Microplastic-Amended Soil on Seed Germination of Alfalfa (<i>Medicago sativa</i>) in a Controlled Environment by Abigail Tatum, Victoria Martin, Vanaja Kankarla

Get full text