Privacy preserving machine_learning_current_landscape
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Privacy preserving machine learning is an emerging field which is in active research. The most prolific successful machine learning models today are built by aggregating all data together at a central location. While centralised techniques are great , there are plenty of scenarios such as user privacy, legal concerns ,business competitiveness or bandwidth limitations ,wherein data cannot be aggregated together. Federated Learningcan help overcome all these challenges with its decentralised strategy for building machine learning models. Paired with privacy preserving techniques such as encryption and differential privacy, Federated Learning presents a promising new way for advancing machine learning solutions.
Privacy preserving machine_learning_current_landscape
- 1. Privacy Preserving Machine Learning Techniques Amogh Tarcar Machine Learning Researcher
- 2. Index Need for Privacy Aware Machine Learning Federated Learning Intro FL in healthcare Privacy concerns Tools & Platforms Demo
- 3. Need for Privacy Aware Machine Learning Data sources such as EHR , X-Rays, Genomics data are inherently sensitive and private, and there are ethical as well as legal limitations for aggregating sensitive data Healthcare datasets , especially for rare diseases needs collaboration of health providers across the world Privacy aware machine learning technique enables building models without needing data to move from its source location. One such technique is called Federated Learning.
- 6. Privacy Concerns Federated learning is a variant of decentralized machine learning Even though data does not leave the source location, the model parameters may leak info about the data Federated learning needs to be implemented using secure techniques such as : Differential Privacy / Secure Aggregation Secure Multi Party Computation / Encryption Image Source : https://www.google.com/url?sa=i&url=http%3A%2F%2Fblog.fastforwardlabs.com%2F2018%2F11%2F14%2Ffederated- learning.html&psig=AOvVaw0tpZYKhKDMX3h5MOCEXkNC&ust=1585489636330000&source=images&cd=vfe&ved=0CAIQjRxqFwoTCLiGuqmnvegCFQAAAAAdAAAAABAD
- 7. Tools & Platforms TensorFlow FederatedPySyft NVIDIA CLARA FedAI OWKIN Platform
- 8. Healthcare Use case Demo