Bias Detection in Federated Learning and Swarm Learning

Technique to detect biases in Distributed ML Algorithms

• Designed 5 clients and 5 agents system for distributed learning.
• Explored Differential Privacy techniques to add noise to the aggregated model updates, ensuring privacy in Federated Learning.
• Analyzed security in Swarm Learning using Decentralized Identity Management.
• Algorithm: Distributed Machine Learning