Towards a Lightweight Platform for Human-Robot Interaction in Federated Edge and IoT Environments.
Proceedings of the 3rd International Workshop on Human-Centered Sensing, 2025
WSSGCN: Wide Sub-stage Graph Convolutional Networks.
Neurocomputing, 2024
StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests.
Proceedings of the 3rd International Conference on Artificial Intelligence, 2024
Adaptive Fragment-Based Parallel State Recovery for Stream Processing Systems.
IEEE Trans. Parallel Distributed Syst., August, 2023
Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst.
CoRR, 2023
Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations.
IEEE Access, 2023
Fast Meta Failure Recovery for Federated Meta-Learning.
Proceedings of the IEEE International Conference on Big Data, 2023
XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory.
IEEE Access, 2022
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study.
Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022
FLOR: A Federated Learning-based Music Recommendation Engine.
Proceedings of the 31st International Conference on Computer Communications and Networks, 2022
Towards an Efficient Client Selection System for Federated Learning.
Proceedings of the Cloud Computing - CLOUD 2022, 2022
FPGA acceleration on a multi-layer perceptron neural network for digit recognition.
J. Supercomput., 2021
COS2: Detecting Large-Scale COVID-19 Misinformation in Social Networks.
Proceedings of the Cloud Computing - CLOUD 2021, 2021
SR3: Customizable Recovery for Stateful Stream Processing Systems.
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020
FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Machine Learning Guided Optimal Use of GPU Unified Memory.
Proceedings of the 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, 2019
Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached.
Proceedings of the 2nd International Conference on Data Intelligence and Security, 2019
Exploiting the Spam Correlations in Scalable Online Social Spam Detection.
Proceedings of the Cloud Computing - CLOUD 2019, 2019
dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019
Harnessing the Nature of Spam in Scalable Online Social Spam Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Oases: An Online Scalable Spam Detection System for Social Networks.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018
A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018