18 citations · 19 across the 5 of their papers we have counts for
5 papers
Generative Federated Learning for Smart Prediction and Recommendation Applications
Anwesha Mukherjee, Rajkumar Buyya
This paper proposes a generative adversarial network and federated learning-based model to address various challenges of the smart prediction and recommendation applications, such…
EnFed: An Energy-aware Federated Learning in Resource Constrained Environments for Human Activity Recognition
Anwesha Mukherjee, Rajkumar Buyya
The human activity recognition (HAR) and recommendation applications for mobile users require a privacy-aware and accurate data analysis model with lower time and lower energy cons…
A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
Anwesha Mukherjee, Rajkumar Buyya
Computation offloading at lower time and lower energy consumption is crucial for resource limited mobile devices. This paper proposes an offloading decision-making model using fede…
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
Anwesha Mukherjee, Rajkumar Buyya
Federated learning has become an emerging technology for data analysis for IoT applications. This paper implements centralized and decentralized federated learning frameworks for c…
STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management
Shreya Ghosh, Anwesha Mukherjee, Soumya K Ghosh +1
Several researches and evidence show the increasing likelihood of pandemics (large-scale outbreaks of infectious disease) which has far reaching sequels in all aspects of human liv…