Federated Learning for Sustainable Data Analysis
"Empowering Sustainability Through Collaborative Intelligence: Federated Learning for a Greener Future"
Created on 7th April 2024
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Federated Learning for Sustainable Data Analysis
"Empowering Sustainability Through Collaborative Intelligence: Federated Learning for a Greener Future"
The problem Federated Learning for Sustainable Data Analysis solves
Our AI/ML model addresses the challenge of sharing data securely while maintaining data privacy. This capability enables us to tackle a significant issue faced by travelers: receiving real-time notifications based on their current health condition about whether it's safe to visit a particular location due to pollution levels in that city.
Challenges we ran into
One of the primary hurdles we encountered during the model development phase was training our data on an incorrect variable from our dataset. This led to overfitting issues, adversely impacting the model's performance. However, we successfully navigated this challenge by modifying the training variable selection and adjusting the calculation processes within our model. These adjustments ultimately resolved the problem, enhancing the model's accuracy and reliability.
Tracks Applied (1)
Sustainability and Environment
Technologies used