Cyber Social FML – Computing I. Goal and Main Trends

The creation of the collective cyber-mind of mankind (the state) today passes through Federated Machine Learning technologies of unobtrusive, smart use of citizens and terminal devices. All this became possible thanks to the emergence of 5G communication channels, cloud structures, social networks, mobile devices and ingenious experts, initiating the creation of a tolerant digital world and the intelligence of the planet. A new cyber-social computing of relations between the state and citizens is proposed, which play the role of tolerant mechanisms of management and execution to create moral and material values, improve the quality of life and preserve the environment. Proposed author’s or innovative computing solutions for diagnostics and online elimination of differences between folk traditions and legislation, which today makes it possible to eliminate social catastrophes in all countries of the world and save trillions of dollars for the development of the economy, infrastructure and social services. A universal xor-metric of the convolution of digital cyberspace is formed, which makes it possible to measure any cyber-social processes and phenomena, as well as to determine the degree of their difference for the recognition and elimination of social collisions. The model of Digital Twin Computing is considered, which is characterized by comparison of two ML-truth tables that model the ideal and real behavior of a person with metric assessments for social activity and significance, adopted in the community. An improved model-architecture of cyber-social FML-computing is proposed, which differs from the standard one by combining the learning process, testing, functioning and distribution of ML-terminals in space, which makes it possible to reduce the training time by an order of magnitude and improve the quality of services for recognition and decision-making when serving citizens. A logical metric of the quality of recognition of patterns, defects and collisions is introduced, which, together with the computing equation, makes it possible to form all structural and normalized assessments in the learning process.