FedML-AI / FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

Home Page:https://TensorOpera.ai

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

In Fed-ML HE example, the client model weights are not encrypted.

mayank64ce opened this issue · comments

The fedml-he example as implemented here does not seem to encrypt the model weights (torch tensors are communicated instead of ciphertext) even when the enable_fhe flag is true in the config file.

I checked the source code here and found that on line 29, the line should be:

if self.is_enabled:
    return

Is that a mistake or did I interpret the code wrong ?