PPFL
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mofanv
Privacy-preserving Federated Learning with Trusted Execution Environments
Hello, I am a student who wants to reproduce your paper "PPFL" I completed the server-side build work in the order of your github using the OpenEnclave SDK，but when I...
Hello @mofanv, I want to run your project in ubuntu to test.
Hello @mofanv, I attempted to run fl_tee_layerwise.sh on an HiKey 960, the same board used in the original PPFL paper [PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments](https://arxiv.org/abs/2104.14380). However, I'm...
Hi, @mofanv , it's really great work, and I have a question about the use of AES. ``` void aes_cbc_TA(char* xcrypt, float* gradient, int org_len) { IMSG("aes_cbc_TA %s ing\n", xcrypt);...
I found there are some directly array access without buffer size check in darknet_ta.c. Since params[i].memref is from insecure REE, there may be a secure risk that the input buffer...
