This paper proposes a new global model aggregation method based on using zero-knowledge federated learning (ZKFL). The purpose is to secure horizontal or P2P federated machine learning systems with shorter aggregation times, higher model accuracy, and ...

With the development of Industrial Internet of Things (IIoT) and sensor technology, the speed and volume of data generation in industrial environments are rapidly increasing.In these settings, sensors continuously generate large volumes of data, ...

This paper presents OFHE, an electro-optical accelerator designed to process Discretized TFHE (DTFHE) operations, which encrypt multi-bit messages and support homomorphic multiplications, lookup table operations and full-domain functional bootstrappings. ...

Bipartite graphs naturally represent relationships between two different entities, such as people-location networks, author-paper networks. In dynamic scenarios like product recommendation systems, where purchase behavior and interests evolve, ...$$

The rise of social media has made automatic emotion recognition from extensive texts crucial in NLP(Natural language processing). Traditional sentiment analysis focuses on basic positive or negative sentiments, neglecting the broader spectrum of ...

Given the fact that WiFi-based sensing can be realized through the reuse of WiFi communication facilities and frequency bands, integrated sensing and communication (ISAC) emerges as a pivotal direction for future WiFi standards, such as IEEE 802.11bf. ...

The accuracy of vision-based face recognition suffers in challenging scenarios, such as foggy or smoky weather, poor lighting, and blockage by objects like facial masks. This paper proposes an acoustic-based facial recognition system based on acoustic ...

• A multi-attribute group decision method based on the interval-valued intuitionistic fuzzy set is proposed.
• A sustainability evaluation of an agricultural water-land-energy-carbon nexus is provided.
• Multidimensional indicators are ...

The interactions between agricultural subsystems, resource scarcity and ecological degradation increase the need for agricultural sustainability assessments in relation to water, land, energy and carbon emissions. In addition, uncertainties ...

Chronic Lung Allograft Dysfunction (CLAD) is a critical post-transplant complication that predominantly determines the long-term survival rates and quality of life of patients undergoing lung transplantation. The limited efficacy of current ...

• We elucidated a unique immunological landscape in CLAD compared to healthy controls.
• Enrichment analysis identified specific pathways that are either overactive or suppressed in CLAD.
• Our findings emphasize the crucial role of T ...

Recent developments in Large Language Models (LLMs) have demonstrated their remarkable capabilities across a range of tasks. Questions, however, persist about the nature of LLMs and their potential to integrate common-sense human knowledge when ...

Taking the marine gas turbine as a research background, a dual-rotor-bearing-casing system model was established considering the bearing nonlinearities and unbalanced excitation. Based on Lagrange’s equation of motion and rotor dynamics theory, the ...

ACM TIOT launched its first special issue on the theme of wireless sensing for IoT. As an important component of the special issue and a novel practice of the journal, an online virtual workshop will be held, with presentations for each of the accepted ...

We propose an efficient method to construct sparse cone singularities under distortion-bounded constraints for conformal parameterizations. Central to our algorithm is using the technique of shape derivatives to move cones for distortion reduction ...

This paper presents HandFi, which constructs hand skeletons with practical WiFi devices. Unlike previous WiFi hand sensing systems that primarily employ predefined gestures for pattern matching, by constructing the hand skeleton, HandFi can enable a ...

Deep learning–based video analytics demands high network bandwidth to ferry the large volume of data when deployed on the cloud. When incorporated at the edge side, only lightweight deep neural network (DNN) models are affordable due to computational ...

Existing inertial measurement unit (IMU) based human activity recognition (HAR) approaches still face a major challenge when adopted across users in practice. The severe heterogeneity in IMU data significantly undermines model generalizability in wild ...

Given the fact that WiFi-based sensing can be realized by reusing WiFi communication facilities and communication frequency bands, integrated sensing and communication (ISAC) is considered a crucial development direction for future WiFi standards, such ...

Bipartite graphs are commonly used to model the relationship between two types of entities, and community search over them has recently gained much attention. However, in real-world scenarios, edges often contain temporal information, such as the ...$$$$$$$$$$$$$$$$$$$$

We propose a novel method to compute high-quality piecewise developable approximations for triangular meshes. Central to our approach is an evolutionary genetic algorithm for optimizing the combinatorial and discontinuous fitness function, including the ...

LoRaWAN suffers dramatic performance degradation over a long communication range due to signal attenuation and blockages. To ensure reliable data transfer, LoRaWAN adopts retransmission mechanism where an unacknowledged packet is retransmitted ...