Abstract Federated learning (FL) is a new distributed framework that different from traditional machine learning: (1) differences in communication, computing, and storage performance among devices (device heterogeneity), (2) data distribution volume (data (3) high communication consumption. Under heterogeneous conditions, the of clients varies greatly, which leads to problem convergence speed t...

We investigate the space of ordinal semantics, where the status of an argument is interpreted by a natural number. In doing so we do not only consider the usual acceptability-based approach for generalizing classical semantics to multivalued semantics, i. e., positioning “undecided” arguments to be in between “in” and “out” arguments, but also a controversiality-based approach where we interpre...

This descriptive survey research was undertaken to study the factors affecting attitudes of agricultural faculty members towards nanotechnology. The statistical population of this study consisted of the agricultural faculty members in Iran (N=225). A sample of 144 persons was selected by using the stratified random sampling method. Data collected using a mailed questionnaire that was validated ...

Using a proportionate stratified sample of 300 titled and non-titled respondents this study was conducted to tap into their attitudes, beliefs, and perceptions of the proliferation of title taking in Igboland. Major questions of interest included: “who are traditional title holders?” “Why do individuals seek titles?” “Why do chiefs award such titles? “Should titles be given to ‘diaspora’ Igbos ...