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cs.LG2024★ 1 cited
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
Satish Kumar Keshri, Nazreen Shah, Ranjitha Prasad
The holy grail of machine learning is to enable Continual Federated Learning (CFL) to enhance the efficiency, privacy, and scalability of AI systems while learning from streaming d…
cs.CR2024
On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning
Arpit Guleria, J. Harshan, Ranjitha Prasad +1
Class imbalance in training datasets can lead to bias and poor generalization in machine learning models. While pre-processing of training datasets can efficiently address both the…