Essays about: "Federated averaging"
Showing result 1 - 5 of 7 essays containing the words Federated averaging.
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1. Federated Learning for Natural Language Processing using Transformers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of Machine Learning (ML) in business has increased significantly over the past years. Creating high quality and robust models requires a lot of data, which is at times infeasible to obtain. As more people are becoming concerned about their data being misused, data privacy is increasingly strengthened. READ MORE
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2. Experiments of Federated Learning on Raspberry Pi Boards
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, companies of all sizes have become increasingly dependent on customer user data and processing it using machine learning (ML) methods. These methods do, however, require the raw user data to be stored locally on a server or cloud service, raising privacy concerns. READ MORE
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3. Impact of model architecture and data distribution on self-supervised federated learning
University essay from Lunds universitet/Matematik LTHAbstract : Data is a crucial resource for machine learning. But in many settings, such as in healthcare or on mobile devices, there are obstacles that make it difficult to utilize the available data. This data is often distributed between many clients and private, meaning that central storage of the data is inadvisable. READ MORE
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4. Implementation of Federated Learning on Raspberry Pi Boards : Implementation of Compressed FedAvg to reduce communication cost on Raspberry Pi Boards
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the development of intelligent services and applications enabled by Artificial Intelligence (AI), the Internet of Things (IoT) is infiltrating many aspects of our everyday lives. The usability of phones and tablets is largely increasing as the primary computing device, since the powerful sensors allow these devices to have access to an unprecedented amount of data. READ MORE
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5. Implementation of Federated Learning on Raspberry Pi Boards : Implementation of Federated Learning on Raspberry Pi Boards with Paillier Encryption
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The development of innovative applications of Artificial Intelligence (AI) is inseparable from the sharing of public data. However, as people strengthen their awareness of the protection of personal data privacy, it is more and more difficult to collect data from multiple data sources and there is also a risk of leakage in unified data management. READ MORE