tff.federated_map

Maps a federated value pointwise using a mapping function.

tff.federated_map(
    fn, arg
)

Used in the notebooks

Used in the tutorials
Implementing Custom Aggregations Sending Different Data To Particular Clients With tff.federated_select Building Your Own Federated Learning Algorithm Client-efficient large-model federated learning via `federated_select` and sparse aggregation Use TFF optimizers in custom iterative process

The function fn is applied separately across the group of devices represented by the placement type of arg. For example, if value has placement type tff.CLIENTS, then fn is applied to each client individually. In particular, this operation does not alter the placement of the federated value.

Args
`fn`	A mapping function to apply pointwise to member constituents of `arg`. The parameter of this function must be of the same type as the member constituents of `arg`.
`arg`	A value of a TFF federated type (or a value that can be implicitly converted into a TFF federated type, e.g., by zipping) placed at `tff.CLIENTS` or `tff.SERVER`.

Returns
A federated value with the same placement as `arg` that represents the result of `fn` on the member constituent of `arg`.

Raises
`TypeError`	If the arguments are not of the appropriate types.

tff.federated_map

Used in the notebooks

Args

Returns

Raises