Essays about: "federerat lärande"
Showing result 1 - 5 of 8 essays containing the words federerat lärande.
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1. Implementing a Network Optimized Federated Learning Method From the Ground up
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This bachelor thesis presents the implementation ofa simple fully connected neural network (FCNN) and federatedneural network with stochastic quantization from scratch andcompares their performance. Federated learning enables multipleparties to contribute to a machine learning model withoutsharing their sensitive data. READ MORE
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2. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. READ MORE
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3. Adversarial Attacks in Federated Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Maskininlärning kräver olika utbildningsdatauppsättningar för att fungera bra. Att dela datauppsättningar är ofta en juridisk fråga och integritetsfråga mellan länder/företag. READ MORE
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4. Privacy leaks from deep linear networks : Information leak via shared gradients in federated learning systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Artificial Intelligence (AI) has always faced two major challenges. The first is that data is kept scattered and cannot be collected for more efficiently use. The second is that data privacy and security need to be continuously strengthened. READ MORE
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5. Federated Learning for Market Surveillance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing complexity of trading strategies, when combined with machine learning models, forces market surveillance corporations to develop increasingly sophisticated methods for recognizing potential misuse. One strategy is to employ traders’ weapons against themselves, namely machine learning. READ MORE