Majid Kundroo

According to our database, Majid Kundroo authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Reinforcement learning-based laser cutting machine parameter optimization.

Khanh Quan Pham, Majid Kundroo, Geunwoo Ban, Seongho Bae, Taehong Kim

J. Intell. Manuf., May, 2026

FedChyper: Client-side dynamic hyper-parameter tuning for enhanced federated learning.

Majid Kundroo, Seong Hoon Kim, Taehong Kim

J. Syst. Archit., 2026

FedCSGA: Evolutionary client selection with joint statistical and system heterogeneity in federated learning.

Ghani Haider, Majid Kundroo, Leo Zhang, Jinchul Choi, Taehong Kim

J. Syst. Archit., 2026

FedTVD: balancing data quality and quantity for robust federated learning.

Radwan Selo, Majid Kundroo, Taehong Kim

Future Gener. Comput. Syst., 2026

FedLBW: A loss-based weighting strategy for federated learning on non-IID data in wireless networks.

Majid Kundroo, Tinku Singh, Taehong Kim

Expert Syst. Appl., 2026

FedMeanStd: Federated Aggregation With Outliers Filtering.

Tinku Singh, Majid Kundroo, Taehong Kim

IEEE Access, 2026

2025

Impact of network topologies on decentralized federated learning.

Radwan Selo, Majid Kundroo, Taehong Kim

Clust. Comput., December, 2025

FedEasy : Federated learning with ease.

Majid Kundroo, Ghani Haider, Nguyen Khoa, Abdul Wahab Mamond, Taehong Kim

SoftwareX, 2025

Autoencoder-based decentralized federated learning for efficient communication.

Abdul Wahab Mamond, Majid Kundroo, Taehong Kim

Comput. Networks, 2025

2024

Demystifying Impact of Key Hyper-Parameters in Federated Learning: A Case Study on CIFAR-10 and FashionMNIST.

Majid Kundroo, Taehong Kim

IEEE Access, 2024

2023

Federated learning with hyper-parameter optimization.

Majid Kundroo, Taehong Kim

J. King Saud Univ. Comput. Inf. Sci., October, 2023

Experimental Evaluation and Analysis of Federated Learning in Edge Computing Environments.

Pham Khanh Quan, Majid Kundroo, Taehong Kim

IEEE Access, 2023

Efficient Federated Learning with Adaptive Client-Side Hyper-Parameter Optimization.

Majid Kundroo, Taehong Kim

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022

Node-Based Horizontal Pod Autoscaler in KubeEdge-Based Edge Computing Infrastructure.

Le Hoang Phuc, Majid Kundroo, Dae-Heon Park, Sehan Kim, Taehong Kim

IEEE Access, 2022