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50 articles for “Distributed Training”
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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Experimental and Polynomial Regression Modelling of Tensile Characteristics of Hybrid Jute/Hemp Fiber Composites
Abstract: The present study aims to develop hybrid jute-hemp fiber/epoxy composites by the hand lay-up process with 60% of fiber reinforcement and 40 % of matrix ratio. To measure the change of tensile properties, prepared hybrid composites were tested for normal tensile strength and edge notch tensile (ENT) test as per the ASTM standards. Findings show that, developed composites with reported tensile strength followed by comparing it with fracture toughness. Experimentally, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 47–58 Read article
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Future Trends in Cloud Computing for Efficient Data Management Services
Abstract: This study explores the evolving landscape of cloud computing and its impact on efficient data management, focusing on key trends, technologies, and paradigms that will shape the future of data management in the cloud. It delves into infrastructure evolution, scalable data storage, data processing and analytics, security and compliance, and emerging technologies as essential dimensions Furthermore, it explores the collaborative potential between cloud computing and the Internet of Things (IoT), …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 2, 2023 · pp. 13–22 Read article
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An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets
Abstract: The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account. The absence of IID data distribution, client heterogeneity, and privacy invasion during the aggregation model are the bane of conventional federated learning (FL) approaches to learning like FedAvg and FedProx. The paper proposes that the adaptive and privacy-aware FL framework (AFL-P) can be used to …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 16–25 Read article
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Awareness and Use of Internet among Postgraduate Students of K.M. Shah Dental College and Hospital
Abstract: The internet conveys a broad scope of data assets and administrations for example, the interconnected hypertext reports and applications of the world wide web (www), the foundation to backing e-mail and the distributed systems for file sharing and telephony. In dental training, new teaching systems utilizing electronic media have been presented which incorporates both computer helped learning and tele-dentistry. At present the utilization of information and communication technology (ICT) in …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 1, 2016 · pp. 32–37 Read article
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Training Need Assessment of Nurses in Intensive Care Units at AIIMS, Bhubaneswar
Abstract: In order to evaluate the needs of nursing officers posted in ICUs, related to training, a study wasconducted among the nurses posted in ICUs. Census method was used for the study. Forty-fourquestions were distributed among eighty-eight nursing officers, which were documented to be ofimportance in patient care from a nursing perspective. The mean average of topics was 25. Themaximum number of training sessions received by staff was found to be …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 66–72 Read article
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Integrative Machine Learning Approaches for Predicting the Rheological Behaviour of Soft Magnetorheological Elastomers
Abstract: Magnetorheological Elastomers (MREs) are advanced composite materials known for their ability to alter mechanical properties under external magnetic fields, making them highly valuable in adaptive damping systems, vibration control, and smart devices. The accurate prediction of rheological behavior in soft MREs remains a significant challenge due to the complex interplay between material composition and magnetic fields. To address this challenge, this study employs a multi-pronged approach that integrates traditional material …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1083–1096 Read article
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Bloom Box Powered Electrical Vehicle with Carbon Nanotubes Wound Motor Drive Train
Abstract: The electrical energy is the main concern to run of an electrical vehicle. This electrical energy isgenerally obtained from a bank of batteries. These batteries require lot of space, and they areheavier. These facts affect the performance and efficiency of an electrical vehicle. Bloom boxcan utilize both fossil (natural gas) and renewable (stream air) sources to produce electricity. Itsoperation is noiseless. It can supply higher energy although it is smaller …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 3, 2019 · pp. 31–42 Read article
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Assessing the Effectiveness of Vocational Education and Training (TVET) in Preparing Students for the Workforce in Liberia
Abstract: Training in Vocational and Educational Training (TVET) is important for students as it enables them to gain practical skills for employment. In Liberia, the main concern of TVET programs is the increasing supply needs for skilled workers in different industries Liberian industries. This research seeks to explore the effectiveness of these programs in Liberia in relation to employment and self-employment opportunities from the 833 respondents distributed across various TVET institutions. …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 31–38 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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ONE NATION, ONE SUBSCRIPTION (ONOS) : RESHAPING LIBRARY ACQUISITION IN GOVERNMENT COLLEGES OF GUJARAT
Abstract: The study investigates the awareness and readiness of library professionals in the government colleges of Gujarat about the One Nation, One Subscription (ONOS) program. The objectives cover to evaluate library professionals’ knowledge, recognize their requirements for infrastructure and training, identify benefits and challenges they predict and recommend the idea for the betterment of the initiative. The study divided responses into five geographical regions of Gujarat like Central, East, North, South, …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 Read article
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Fatigue Failure Analysis of a Railway Wheel Using FEA
Abstract: In a railway transportation system, the railway wheel is the hardest and most critical component. Technological developments in the manufacturing of railway wheels in industries have made it possible to significantly extend the fatigue life of wheels. The manufacturing industries perform three tasks: aiding in train movement, supporting the carloads and also acts brake drum in the vehicle. The serious problems in railway engineering are fatigue design of a wheel …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 22–30 Read article
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Performance Evaluation of Dominant Red Barred D922 Breed at Peri-urban Areas of Gurage Zone in SNNPR of Ethiopia
Abstract: Animal production in general and chickens in particular play important socioeconomic roles. The aim of this study was to evaluate the performance of red barred dual breeds in peri-urban areas of the Gurage zone and to determine the economic feasibility under farmers’ management conditions to promote and disseminate the approved technology packages to the users. Participant farmers were selected purposively on the basis of willingness to cover all associated package …
Published in Research and Reviews : Journal of Veterinary Science and Technology Read article
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Demonstration and Evaluation of Improved Chickens under Farmers’ Management Conditions at Godoro Sub-Watershed, Gerese District
Abstract: The study commenced with the objective of demonstration and evaluation of an improved chicken breed's performance under farmers’ management conditions in Bula Kebele, Gerese district of Gamo zone. A total of 21 participant households were selected purposely based on their experience and willingness to construct a chicken house, covering chicken-rearing costs, and recording the required data. Training on chicken husbandry, healthcare, feeds and feeding systems was provided for the participants, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 61–69 Read article
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A Study to Assess the Effectiveness of Video-assisted Teaching Programme on Knowledge Regarding Prevention and First Aid Management of Snakebite Among Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) Workers in Selected Areas at Wayanad
Abstract: This study aimed to assess the impact of a video-assisted instructional program on the awareness of snake bite prevention and first aid practices among MGNREGS workers in Meppadi Panchayath, Wayanad. Using a quasi-experimental one-group pre-test post-test research approach, the study included 60 participants selected through convenient sampling. The participants' demographics revealed a varied distribution, with the majority falling within the 36–45 year age bracket (35%) and having an educational background …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 9–13 Read article
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Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Electromagnetic Transients in Compensated Overhead Lines with Multiple Tower Spans
Abstract: This paper addresses the analysis of the electromagnetic transients developed in an important class of non-uniform high-voltage power lines. It deals particularly with compensated long overhead high- voltage transmission lines composed of several tower spans, which are connected in cascade. The derived mathematical model leads to a system composed of simultaneous partial differential and algebraic equations, which can be solved numerically in terms of parametric functions using the software Mathematica’s …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 1–9 Read article
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Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 Read article