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09/19/2023
Toward efficient resource utilization at edge nodes in federated learning
Federated learning (FL) enables edge nodes to collaboratively contribute...
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04/04/2023
FedBot: Enhancing Privacy in Chatbots with Federated Learning
Chatbots are mainly data-driven and usually based on utterances that mig...
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01/23/2023
Accelerating Fair Federated Learning: Adaptive Federated Adam
Federated learning is a distributed and privacy-preserving approach to t...
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02/09/2022
FedQAS: Privacy-aware machine reading comprehension with federated learning
Machine reading comprehension (MRC) of text data is one important task i...
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01/12/2022
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning
With the rapid development of big data and cloud computing, data managem...
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02/27/2021
Scalable federated machine learning with FEDn
Federated machine learning has great promise to overcome the input priva...
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02/12/2021
Robust and integrative Bayesian neural networks for likelihood-free parameter inference
State-of-the-art neural network-based methods for learning summary stati...
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01/31/2020
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
Approximate Bayesian Computation is widely used in systems biology for i...
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01/29/2020
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
Data stream processing frameworks provide reliable and efficient mechani...
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12/19/2019
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy
Whilst computational resources at the cloud edge can be leveraged to imp...
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01/22/2019
Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top-K Workloads
Top-K queries are an established heuristic in information retrieval. Thi...
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07/20/2018
Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison
Studies have demonstrated that Apache Spark, Flink and related framework...
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05/22/2018