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A Framework for Autonomic Computing for In Situ Imageomics
Related publications (32)
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This repository contains microphysics routines, scripts, and processed data from the Weather Research and Forecasting (WRF) model simulations presented in the paper "RaFSIP: Parameterizing ice multiplication in models using a machine learning approach", by ...
Zenodo2024Reinforcement Learning for Joint Design and Control of Battery-PV Systems
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The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have emerged as new control strategies for operating these systems, but they have n ...
2023incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment
A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and representati ...
2023A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning
Boi Faltings, Ljubomir Rokvic, Panayiotis Danassis
Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...
2023Budget-Bounded Incentives for Federated Learning
Boi Faltings, Aris Filos Ratsikas, Adam Julian Richardson
We consider federated learning settings with independent, self-interested participants. As all contributions are made privately, participants may be tempted to free-ride and provide redundant or low-quality data while still enjoying the benefits of the FL ...
Springer Nature Switzerland AG 20202022Clouseau: Blockchain-based Data Integrity for HDFS Clusters
As the volume of produced data is exponentially increasing, companies tend to rely on distributed systems to meet the surging demand for storage capacity. With the business workflows becoming more and more complex, such systems often consist of or are acce ...
IEEE COMPUTER SOC2021Truthful, Transparent and Fair Data Collection Mechanisms
An important prerequisite for developing trustworthy artificial intelligence is high quality data. Crowdsourcing has emerged as a popular method of data collection in the past few years. However, there is always a concern about the quality of the data thus ...
EPFL2020