Sökning: "independent and identically distributed"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden independent and identically distributed.

1. 1. Experiments of Federated Learning on Raspberry Pi Boards

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Simon Sondén; Farhad Madadzade; [2022]
   Nyckelord :Federated Learning; Raspberry Pi; FedAvg; Decentralized; Machine Learning; Convolutional Neural Network; PyTorch;

   Sammanfattning : 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. LÄS MER

3. 2. Modeling life expectancies : A spatial analysis

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Feliks Sjöblom; Markus Johansson; [2022]
   Nyckelord :spatial regression; life expectancy; spatial autocorrelation; socioeconomic characteristics; spatial weights;

   Sammanfattning : In the present paper, we examine the effect of socioeconomic characteristics on the life expectancy of men and women in the Stockholm metropolitan area. Detailed individual data allows for a novel approach where observations can be displayed in high resolution. LÄS MER

4. 3. Cluster selection for Clustered Federated Learning using Min-wise Independent Permutations and Word Embeddings

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Pulasthi Raveen Bandara Harasgama; [2022]
   Nyckelord :Federated learning; Distributed machine learning; Clustering; Word Embeddings; Federerad inlärning; Distribuerad maskininlärning; Klustring; Ordinbäddningar;

   Sammanfattning : Federated learning is a widely established modern machine learning methodology where training is done directly on the client device with local client data and the local training results are shared to compute a global model. Federated learning emerged as a result of data ownership and the privacy concerns of traditional machine learning methodologies where data is collected and trained at a central location. LÄS MER

5. 4. Towards Understanding slag build-up in a Grate-Kiln furnace : A study of what parameters in the Grate-Kiln furnace leads to increased slag build-up, in a modern pellet production kiln

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Oscar Olsson; Uno Österman; [2022]
   Nyckelord :Grate-kiln; Slag; Interpretable machine learning; IID; independent and identically distributed; Kulsinter; pellets; slagg; slag; LKAB;

   Sammanfattning : As more data is being gathered in industrial production facilities, the interest in applying machine learning models to the data is growing. This includes the iron ore mining industry, and in particular the build-up of slag in grate-kiln furnaces. LÄS MER

7. 5. A PIT - Based approach to Validation of Electricity Spot Price Models

   Master-uppsats, KTH/Matematisk statistik

   Författare :Hampus Engsner; [2015]
   Nyckelord :;

   Sammanfattning : The modeling of electricity spot prices is still in its early stages, with various different competing models being proposed by different researchers. This makes model evaluation and comparison research an important area, for practitioners and researchers alike. LÄS MER