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Found 10 papers, 4 papers with code
Initialisation and Topology Effects in Decentralised Federated Learning
Fully decentralised federated learning enables collaborative training of individual machine learning models on distributed devices on a network while keeping the training data localised.
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity
Federated Learning (FL) is a well-known framework for successfully performing a learning task in an edge computing scenario where the devices involved have limited resources and incomplete data representation.
Interpreting wealth distribution via poverty map inference using multimodal data
Here, we propose a pipeline of machine learning models to infer the mean and standard deviation of wealth across multiple geographically clustered populated places, and illustrate their performance in Sierra Leone and Uganda.
Understanding hesitancy with revealed preferences across COVID-19 vaccine types
Many countries have secured larger quantities of COVID-19 vaccines than their populace is willing to take.
Socioeconomic correlations of urban patterns inferred from aerial images: interpreting activation maps of Convolutional Neural Networks
Urbanisation is a great challenge for modern societies, promising better access to economic opportunities while widening socioeconomic inequalities.
weg2vec: Event embedding for temporal networks
Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics.
Joint embedding of structure and features via graph convolutional networks
The creation of social ties is largely determined by the entangled effects of people's similarities in terms of individual characters and friends.
Location, Occupation, and Semantics based Socioeconomic Status Inference on Twitter
The socioeconomic status of people depends on a combination of individual characteristics and environmental variables, thus its inference from online behavioral data is a difficult task.
Socioeconomic Dependencies of Linguistic Patterns in Twitter: A Multivariate Analysis
Our usage of language is not solely reliant on cognition but is arguably determined by myriad external factors leading to a global variability of linguistic patterns.
Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services
Our study reveals that (a) postpaid customers are more active in terms of service usage and (b) there are strong structural correlations in the mobile phone call network as connections between customers of the same subscription type are much more frequent than those between customers of different subscription types.
