Publisher Summary This chapter focuses on the bargaining set, kernel, and nucleolus. The
theory of the bargaining set answers a more modest question: How would or should the …

In collaborative machine learning (CML), multiple agents pool their resources (eg, data)
together for a common learning task. In realistic CML settings where the agents are self …

1. Introduction. A characteristic function game isa pair N, v] consisting of a set N{1, 2,..., n} of
n players and a characteristic function v, which maps every subset S of N, called a coalition …

Collaborative machine learning (ML) is an appealing paradigm to build high-quality ML
models by training on the aggregated data from many parties. However, these parties are …

Wir haben die Möglichkeit einer weiteren Auflage des Buches genutzt, den Text
leserfreundlicher zu gestalten, den Sach-und Personenindex zu überarbeiten und neuere …

Written by prominent experts in the field, this monograph provides the first comprehensive,
unified presentation of the structural, algorithmic and applied aspects of the theory of …

Two solution concepts for cooperative games in characteristic-function form, the kernel and
the nucleolus, are studied in their relationship to a number of other concepts, most notably …

Data valuation in machine learning (ML) is an emerging research area that studies the worth
of data in ML. Data valuation is used in collaborative ML to determine a fair compensation …

The study of the theory of games was started in Von Neumann (1928), but the development
of the theory of games was accelerated after the publication of the classical book" Theory of …

First published in 1984. In this book, the authors set forth the central ideas and results of the
major theories of coalition forming behavior. These theories address situations of partial …