contribution and money and some surveys [@8] mentioned that people feel that data and money are not exchangeable. On the contrary, our work focuses on distributing a subset of the learnt model (with value commensurating the player’s contribution to this learnt model) back to participating players directly; this is desirable because as long as we defined the “value” of a learnt model appropriately using some theoretical measures, the players’ reward (in the form of a learnt model) can be directly pegged to this “value”.

Background on cooperative games
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In Game Theory, cooperative games provide a framework for economists and mathematicians to study how a group of self-interested players chooses to behave when they are allowed to cooperate with each other to generate some resources of value. Despite being self-interested, these players may still choose to cooperate because there may be positive externalities created when larger groups are formed. However, it is not always the case that all players choose to cooperate in one single large group; depending on the resources created and the amount of positive externalities generated, it is entirely possible that we observe multiple smaller coalition of players forming. In fact, this is what we observe in 