Data protection in AI services: A survey
Advances in artificial intelligence (AI) have shaped today's user services, enabling
enhanced personalization and better support. As such AI-based services inevitably require …
enhanced personalization and better support. As such AI-based services inevitably require …
Exploring user expectations of proactive AI systems
Recent advances in artificial intelligence (AI) enabled digital assistants to evolve towards
proactive user support. However, expectations as to when and to what extent assistants …
proactive user support. However, expectations as to when and to what extent assistants …
The integrated sensing and communication revolution for 6G: Vision, techniques, and applications
Future wireless networks will integrate sensing, learning, and communication to provide new
services beyond communication and to become more resilient. Sensors at the network …
services beyond communication and to become more resilient. Sensors at the network …
Service placement for collaborative edge applications
Edge computing is emerging as a promising computing paradigm for supporting next-
generation applications that rely on low-latency network connections in the Internet-of …
generation applications that rely on low-latency network connections in the Internet-of …
Unsupervised 4d lidar moving object segmentation in stationary settings with multivariate occupancy time series
In this work, we address the problem of unsupervised moving object segmentation (MOS) in
4D LiDAR data recorded from a stationary sensor, where no ground truth annotations are …
4D LiDAR data recorded from a stationary sensor, where no ground truth annotations are …
Privacy-preserving AI services through data decentralization
User services increasingly base their actions on AI models, eg, to offer personalized and
proactive support. However, the underlying AI algorithms require a continuous stream of …
proactive support. However, the underlying AI algorithms require a continuous stream of …
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training
In this paper, we propose LiOn-XA, an unsupervised domain adaptation (UDA) approach
that combines LiDAR-Only Cross-Modal (X) learning with Adversarial training for 3D LiDAR …
that combines LiDAR-Only Cross-Modal (X) learning with Adversarial training for 3D LiDAR …
SaS: SSD as SQL database system
Every database engine runs on top of an operating system in the host, strictly separated with
the storage. This more-than-half-century-old IHDE (In-Host-Database-Engine) architecture …
the storage. This more-than-half-century-old IHDE (In-Host-Database-Engine) architecture …
CoEdge: A Cooperative Edge System for Distributed Real-Time Deep Learning Tasks
Recent years have witnessed the emergence of a new class of cooperative edge systems in
which a large number of edge nodes can collaborate through local peer-to-peer …
which a large number of edge nodes can collaborate through local peer-to-peer …
Privacy-Preserving Artificial Intelligence on Edge Devices: A Homomorphic Encryption Approach
Recent advancements in privacy-preserving artificial intelligence (AI) have paved the way
for enhanced privacy in computational processes. A standing challenge, however, is the …
for enhanced privacy in computational processes. A standing challenge, however, is the …