| 2026 | Artifact Appendix for Orchestrating WASM-Based MCP Tool Runtimes for AI Agents Across Edge-Cloud Continuum. | Moohyun Song, Hayoung Kim, Kyoohyun Lee, Jae Gi Son, Kyungyong Lee |
| 2026 | Orchestrating WASM-Based MCP Tool Runtimes for AI Agents Across Edge-Cloud Continuum. | Moohyun Song, Hayoung Kim, Kyoohyun Lee, Jae Gi Son, Kyungyong Lee |
| 2026 | SpotFed: Cost-Efficient Federated Learning with Spot Instance Compensation. | Myungjun Son, Woohyeon Baek, Mehrdad Mahdavi, Mahmut T. Kandemir |
| 2026 | Breaking All-Reduce Bottlenecks with Asynchronous Influence Maximization at Scale. | Shubhendra Pal Singhal, Ajay Sharma Mandadi, Akihiro Hayashi, Thomas M. Conte, Vivek Sarkar |
| 2026 | Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes. | Fatema Siddika, Md. Anwar Hossen, Wensheng Zhang, Anuj Sharma, J. Pablo Muoz, Ali Jannesari |
| 2026 | Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks. | Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan |
| 2026 | Artifact Appendix for Kumo: A Security-Focused Serverless Cloud Simulator. | Wei Shao, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun, Chongzhou Fang |
| 2026 | Kumo: A Security-Focused Serverless Cloud Simulator. | Wei Shao, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun, Chongzhou Fang |
| 2026 | Enhancing Fairness in Federated Learning Using Client Clustering and Personalized Models. | Asifa Shah, Kenan M. Matawie, Bahman Javadi |
| 2026 | A Federated Edge-AI Smart City Framework for Early Parkinson's Disease Detection Using Handwriting and Multimodal Digital Biomarkers. | Mahtab Shahin, Riina Palu, Ralf-Martin Soe, Mohammad H. Nadimi-Shahraki, Amir H. Gandomi |
| 2026 | Artifact Appendix for Cloudformer: an Attention-Based Performance Prediction for Public Clouds With Unknown Workload. | Amirhossein Shahbazinia, Darong Huang, Luis Costero, David Atienza |
| 2026 | CloudFormer: An Attention-Based Performance Prediction for Public Clouds with Unknown Workload. | Amirhossein Shahbazinia, Darong Huang, Luis Costero, David Atienza |
| 2026 | Scalable, Topology- and Multi-HCA-Aware Hierarchical GPU Allgather Using Parallel Rings. | Amirreza Barati Sedeh, Ryan Grant, Ahmad Afsahi |
| 2026 | DriveCache: On-Board Compute Caching for Scalable Vehicular Edge Computing Networks. | Suvarthi Sarkar, Aditya Gupta, Salil Kashyap, Aryabartta Sahu |
| 2026 | A Systems-Level Evaluation of Scalable Multimodal Architectures for Social Media Suicide Risk Detection. | Vijayalakshmi Saravanan, Sai Karthik Navuluru, Khaled Z. Ibrahim, Lakshman Tamil |
| 2026 | MemScale: Real-Time Change Detection with Near-Linear Scale-Out on HPC Systems. | Vijayalakshmi Saravanan, Sai Karthik Navuluru, Jon Ryan Cole, Khaled Z. Ibrahim, Lakshman Tamil |
| 2026 | Deep Reinforcement Learning-Driven Edge Offloading for Latency-Constrained XR Pipelines. | Sourya Saha, Saptarshi Debroy |
| 2026 | ALTOCUMULUS: Enabling Efficient Erasure Coding in IPFS. | Mohammad Rizk, Shadi Ibrahim, Thomas Lambert |
| 2026 | A Reproducible Analytics Workflow for Longitudinal Healthcare Digital Twins. | Kunal Rehani, Kenan M. Matawie |
| 2026 | Edge-Native Federated Lidar Analytics for Robust Guardrail Monitoring in Rural Environments. | Maria Teresa Reggio, Francesco la Rosa, Pierluigi Dell'Acqua, Massimo Villari |
| 2026 | Artifact Appendix for Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable Iot. | Murtaza Rangwala, Richard O. Sinnott, Rajkumar Buyya |
| 2026 | Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT. | Murtaza Rangwala, Richard O. Sinnott, Rajkumar Buyya |
| 2026 | Benchmarking Message Brokers for IoT Edge Computing: A Comprehensive Performance Study. | Tapajit Chandra Paul, Pawissanutt Lertpongrujikorn, Hai Duc Nguyen, Mohsen Amini Salehi |
| 2026 | BucketLSM: Breaking the Compaction Scalability Barrier in LSM-Based Key-Value Stores. | Jaewan Park, Kyungwook Min, Sungjin Byeon, Taewan Noh, Hyungi Park, Xubin He, Hong-Yeon Kim, Youngjae Kim |
| 2026 | About the Influence of Workflow Topology on Task Intensity Prediction Through Graph Learning. | Max Otto, Haci Ismail Aslan, Joel Witzke, Jonathan Bader, Odej Kao |