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01/20/2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Federated learning is a machine learning paradigm that emerges as a solu...
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03/28/2021
A survey on extremism analysis using Natural Language Processing
Extremism research has grown as an open problem for several countries du...
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07/31/2020
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid
Decision making models are constrained by taking the expert evaluations ...
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07/29/2020
Dynamic Federated Learning Model for Identifying Adversarial Clients
Federated learning, as a distributed learning that conducts the training...
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07/02/2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
The high demand of artificial intelligence services at the edges that al...
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05/17/2019