3 citations · 7 across the 14 of their papers we have counts for
5 papers
TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion
Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla, Sajal K. Das
Stackelberg routing platforms (SRP) reduce congestion in one-shot traffic networks by proposing optimal route recommendations to selfish travelers. Traditionally, Stackelberg routi…
Dispatching Point Selection for a Drone-Based Delivery System Operating in a Mixed Euclidean-Manhattan Grid
Francesco Betti Sorbelli, Federico Corò, Sajal K. Das +2
In this paper, we present a drone-based delivery system that assumes to deal with two different mixed-areas, i.e., rural and urban. In these mixed-areas, called EM-grids, the dista…
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning
Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta +1
Smart sensing provides an easier and convenient data-driven mechanism for monitoring and control in the built environment. Data generated in the built environment are privacy sensi…
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings
Ashish Gupta, Hari Prabhat Gupta, Sajal K. Das
With the enhancement of people's living standards and rapid growth of communication technologies, residential environments are becoming smart and well-connected, increasing overall…
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Ashish Gupta, Tie Luo, Mao V. Ngo +1
Federated learning offers a framework of training a machine learning model in a distributed fashion while preserving privacy of the participants. As the server cannot govern the cl…