Taxation of Grants in the Russian Federation by A. E., Kanakova, D. Szpoper

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Universidade Federal de Pernambuco

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INTERVENÇÕES FEDERAL E ESTADUAL by Felipe Bizinoto Soares de Pádua

“… Esta monografia tratará da figura da intervenção, que se desdobra em federal, quando trata da ingerência federal na estadual, e em estadual, quando trata da ingerência estadual na municipal. …”
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Probabilistic Predictions with Federated Learning by Adam Thor Thorgeirsson, Frank Gauterin

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Federal sponsorship of university research by Fulmer, Vincent A

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API federation in a polystore by Mucklo, Matthew Joseph.

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Open Algorithms for Identity Federation by Hardjono, Thomas, Pentland, Alex Paul

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The effectiveness of the Federal Power Commission, by MacAvoy, Paul W.

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The effectiveness of the Federal Power Commission by MacAvoy, Paul W.

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The effectiveness of the Federal Power Commission. by MacAvoy, Paul W.

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Federated learning for image applications by Cao, Shuxin

“…For institutions or individuals to train the model together while ensuring data privacy, the concept of federated learning is proposed. In this project, we studied the aggregation algorithm FedAvg of federated learning and applied it to different models and image data. …”
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Federated learning in stock predictions by Lim, Shihao

“…The experimental results show that regardless of model parameter adjustments, the traditional LSTM method outperforms the federated LSTM method in accuracy on stock prediction.…”
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Federated graph neural network by Koh, Tat You @ Arthur

“…In this project, we implement and introduce a possible alternative means of conducting Graph Neural Network machine learning on privacy-sensitive data by combining a form of de-centralized, privacy-preserving machine learning known as Federated Learning with Graph Neural Networks. Our approach is showcased through the augmentation of the GCN and GraphSAGE GNNs with FL. …”
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Study of attacks on federated learning by Thung, Jia Cheng

“…This project will study a targeted data poisoning attack against Federated Learning, also known as label flipping attack. …”
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Peer-to-peer federated learning by Sim, Nicholas Yong Yue

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Federated learning for algorithmic trading by Aggarwal, Anusha

“…By simulating diverse market conditions through various trading and time costs across agents, this project examines the efficacy of federated learning against traditional non-federated training methodologies. …”
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Towards personalized federated learning by Tan, Alysa Ziying, Yu, Han, Cui, Lizhen, Yang, Qiang

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. The Federal Assembly and the Power Vertical by Chaisty, P

Federal proceeds of crime law by English, J, Hickey, S, Bronitt, S

“…It also contains a wealth of material for those undertaking research or teaching specialised electives in federal criminal law.…”

The Federal Assembly and the Power Vertical by Chaisty, P