8 papers
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
Abolfazl Younesi, Leon Kiss, Zahra Najafabadi Samani +2
Federated learning (FL) enables collaborative model training while preserving data privacy. However, it remains vulnerable to malicious clients who compromise model integrity throu…
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL
Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad +3
Deploying large language models (LLMs) on edge devices is challenging due to their limited memory and power resources. Cloud-only inference reduces device burden but introduces hig…
AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines
Abolfazl Younesi, Zahra Najafabadi Samani, Thomas Fahringer
Data pipelines are essential in stream processing as they enable the efficient collection, processing, and delivery of real-time data, supporting rapid data analysis. In this paper…
FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter Strategies
Laura Acosta GarcÃa, Juan Aznar Poveda, Fabian Margreiter +5
The Internet of Things (IoT) has transformed many industries, and LoRaWAN (Long Range Wide Area Network), built on LoRa (Long Range) technology, has become a crucial solution for e…
Collaborative State Machines: A Better Programming Model for the Cloud-Edge-IoT Continuum
Marlon Etheredge, Thomas Fahringer, Felix Erlacher +5
The development of Cloud-Edge-IoT applications requires robust programming models. Existing models often struggle to manage the dynamic and stateful nature of these applications ef…
A Terminology for Scientific Workflow Systems
Frédéric Suter, Tainã Coleman, İlkay AltintaŠ+23
The term scientific workflow has evolved over the last two decades to encompass a broad range of compositions of interdependent compute tasks and data movements. It has also become…