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Hello everyone, i have been running various experiments using the parameter-server strategy for distributed tensorflow. My shows uneven distribution on workload for parameter servers replicas (some …
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We want to organize the project to support independent submodules, as in TensorIO-iOS, with the following hierarchy:
```
TensorIO/
Core
TFLite
TensorFlow
Deploy
Federated
```
Te…
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BGV (Brakerski-Gentry-Vaikuntanathan) Homomorphic Encryption is one of the leading approaches to homomorphic encryption. While current work is underway within our community to wrap the SEAL homomorphi…
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I encounter the following problems when I run python3 fl_implemetation.py ./trainingSet/trainingSet
got shape [3780, 784], but wanted [3780].
I try to figure out the problem, but that cannot work u…
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FV (Fan-Vercauteren) Homomorphic Encryption is one of the leading approaches to homomorphic encryption. While current work is under way within our community to wrap the SEAL homomorphic encryption lib…
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Title: Federated Phenotyping and Patient Representation Learning Using SyferText
Mentor: [Marcio Porto](https://github.com/MarcioPorto)
Level: Intermediate
## Description
In the clinical setti…
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**Problem:**
Essentially we’ll already have a translation function that exists for Javascript - this project simply brings the same logic to Python. This may not end up serving a permanent purpose in…
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Is **PySyft** suitable for large-scaled federated learning scenario where hundreds or thounds of clients are participated?
In the tutorial document, I only see clients such as *Alice* and *Bob*, …
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#### Mentor: Adam J Hall
Federated Learning and SpitNN are both methods for distributing the training of a neural network across multiple machines for the sake of privacy. However, they have differ…
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**System information**
- TensorFlow version (you are using):
'1.15.0'
- Are you willing to contribute it (Yes/No):
**Motivation**
Enable operations on algebraic operation on the quantized …