Humaid Desai

Humaid Desai was a master’s degree student in the Department of Computer Science.  His advisor was Hoda Eldardiry.
Desai’s research focused on enhancing the efficiency and resource utilization of Federated Learning in resource-constrained and heterogeneous environments. This is achieved by addressing challenges related to resource-limited clients and communication within the federated learning-based system.
 
Alumni
Research Areas:
  • Artificial Intelligence
  • iconComputer Vision
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