18 citations · 19 across the 5 of their papers we have counts for
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cs.DC2024★ 1 cited
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…
cs.DC2024
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…
cs.LG2024★ 18 cited
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…