This paper proposes EdgeFaaS, a function-based edge computing framework that abstracts distributed and heterogeneous physical resources and provides consistent virtual interfaces for deploying and exe…

The paper proposes a framework to harvest unused computation resources on AI chips for general-purpose tasks using neural architecture search and approximation techniques.

This paper proposes SubEdge, a Net4AI subsystem for per-subscriber edge computing and communication resource provisioning, ensuring service continuity during mobility.

This paper investigates the latency performance of Mobile Edge Computing (MEC) on a 5G cellular network for real-time power transmission line analytics, demonstrating a low latency of 44.62 ms compare…

This paper proposes a framework for functional stability in edge computing systems, focusing on individual functions and their quality thresholds.

The paper proposes a trust-aware federated hybrid intrusion detection framework using multiple ML models at distributed edge nodes to proactively secure highly connected Intelligent Transport Systems.

This review comprehensively analyzes state-of-the-art decentralized trust and security mechanisms, concluding that while these approaches enhance privacy and resilience for IoT edge networks, challeng…

This paper surveys how integrating Edge Computing, Machine Learning, and Deep Learning can enhance the security and resilience of complex Internet of Vehicles (IoV) networks.

The paper proposes CLASP, an end-to-end system with IMC acceleration for continual learning on edge platforms, addressing challenges of noisy computation and poor support for resource-efficient traini…

This paper analyzes the potential downsides of integrating advanced AI and smart capabilities across the Edge-Cloud continuum in modern industry, focusing specifically on security vulnerabilities, sid…

This paper introduces a domain-specific visual graph editor for designing modular applications in edge and cloud computing environments, enabling users to model kernels, shared memory nodes, and event…

This paper presents BenDi, an energy-efficient quasi-stochastic systolic architecture for bioelectronic systems on the edge.

This paper identifies and discusses twelve technical challenges that need to be addressed to safely and effectively scale drone technology for commercial use.

The paper introduces SPARROW, an autonomous, open-source platform that uses solar power, edge AI, and satellite communication to enable continuous, scalable biodiversity monitoring in remote global ec…

This paper proposes a decentralized, confidential computing platform using Intel TDX, ITA, and NVIDIA CC for secure and affordable AI workloads.

CoMIC is a cloud-edge framework that enables resource-constrained LLM agents to successfully complete complex, long-horizon tasks by collaboratively sharing and refining memory and insights between lo…

EdgeDetect is a communication-efficient and privacy-preserving federated intrusion detection system that uses gradient binarization and homomorphic encryption to significantly reduce bandwidth usage w…

This paper presents Roomie, an architecture for orchestrating model serving in multi-model scenarios on GPUs, reducing SLO violations by predicting and avoiding kernel-level interference.