Abstract: There is provided a method for generating a machine learning model. The method is performed by an entity. In response to receiving model parameters of a plurality of machine learning models, a machine learning model is generated based on the model parameters of the plurality of machine learning models. Each of the plurality of machine learning models is trained by a different network node of a network functions virtualization (NFV) architecture based on data that is local to that network node.

Abstract: Systems and methods for ensuring multi-tenant isolation in a data center are provided. A switch, or virtualized switch, can be used to de-multiplex incoming traffic between a number of data centers tenants and to direct traffic to the appropriate virtual slice for an identified tenant. The switch can store tenant identifying information received from a master controller and packet forwarding rules received from at least one tenant controller. The packet handling rules are associated with a specific tenant and can be used to forward traffic to its destination.

Abstract: Systems and methods for ensuring multi-tenant isolation in a data center are provided. A switch, or virtualized switch, can be used to de-multiplex incoming traffic between a number of data centers tenants and to direct traffic to the appropriate virtual slice for an identified tenant. The switch can store tenant identifying information received from a master controller and packet forwarding rules received from at least one tenant controller. The packet handling rules are associated with a specific tenant and can be used to forward traffic to its destination.