PointerTensor
PointerTensor is a proxy object used in distributed and privacy-preserving machine learning frameworks, most commonly within PySyft, to reference a tensor that resides on a remote worker. It enables computations to be described and executed without moving the underlying data to the local environment, supporting federated and confidential learning scenarios.
A PointerTensor stores a reference to a remote tensor, including the remote location (the worker where the
PointerTensors are typically created by sending a local tensor to a remote worker via a send operation.
Operations on PointerTensors are translated into remote commands. The actual arithmetic or tensor manipulations occur on
Using PointerTensors introduces network latency and requires secure communication channels. Proper risk management and cryptographic protocols
PySyft, federated learning, remote tensors, secure computation.