Essays about: "Decentralized AI"
Showing result 1 - 5 of 8 essays containing the words Decentralized AI.
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1. Market Analysis of AI Decentralized Industrial Heating Processes : The Case of AI integrated microwave heating technology
University essay from Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknikAbstract : The combination of artificial intelligence (AI) with microwave heating technology is offering a unique and specialized potential, leading to significant transformations across numerous sectors. This novel device integrates artificial intelligence technology with environmentally sustainable microwave heating, offering the potential to decrease human labour, improve precision, minimize expenses, and promote efficiency. READ MORE
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2. A Comprehensive study on Federated Learning frameworks : Assessing Performance, Scalability, and Benchmarking with Deep Learning Model
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Federated Learning now a days has emerged as a promising standard for machine learning model training, which can be executed collaboratively on decentralized data sources. As the adoption of Federated Learning grows, the selection of the apt frame work for our use case has become more important. READ MORE
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3. Energy-as-a-Service in the Swedish Real Estate Sector
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In order to reach the global set sustainability goals, it is of the utmost importance that we phase out fossil fuels and reduce our total emissions. We also need to ensure that we minimize and make our energy use more efficient. In 2020, Sweden's construction and property sector accounted for approximately 34% of Sweden's total final energy use. READ MORE
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4. Decentralized Learning over Wireless Networks with Imperfect and Constrained Communication : To broadcast, or not to broadcast, that is the question!
University essay from Linköpings universitet/KommunikationssystemAbstract : The ever-expanding volume of data generated by network devices such as smartphones, personal computers, and sensors has significantly contributed to the remarkable advancements in artificial intelligence (AI) and machine learning (ML) algorithms. However, effectively processing and learning from this extensive data usually requires substantial computational capabilities centralized in a server. READ MORE
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5. Federated Learning for edge computing : Real-Time Object Detection
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE