Recommendation models have been widely embedded in various online services, while most of which are designed with the assumption that users' original behaviors available a central server. This may cause privacy issue. As response, we follow recent work called federated collaborative filtering (FCF) for item recommendation implicit feedback and propose novel generic (FedRec) framework rating prediction explicit feedback. Specifically, federate some basic advanced factorization-based both...

With the marriage of federated machine learning and recommender systems for privacy-aware preference modeling personalization, there comes a new research branch called aiming to build recommendation model in distributed way, i.e., each user is represented as client where his/her original rating data are not shared with server or other clients. Notice that, besides sensitive information specific score assigned certain item by user, user's rated set items shall also be well protected. Some...

Recommendation models are deployed in a variety of commercial applications to provide personalized services for users. However, most them rely on the users’ original rating records that often collected by centralized server model training, which may cause privacy issues. Recently, some federated recommendation proposed protection privacy, however requires coordination whole process training. As response, we propose novel privacy-aware decentralized (DFedRec) model, is lossless compared with...

With the development of cloud computing, coexistence multiple service providers appears in current market. Due to heterogeneous instance types, different bandwidths and various price models among clouds, it is a challenging issue schedule deadline-constrained scientific workflow across clouds. Existing research for scheduling are mostly traditional distributed computing environment (such as grid), only few primal contributions made environment. This paper proposes strategy In order minimize...

Emotion recognition based on body movements is vital in human-computer interaction. However, existing emotion methods predominantly focus enhancing classification accuracy, often neglecting the provision of textual explanations to justify their classifications. In this paper, we propose an Emotion-Action Interpreter powered by LargeLanguage Model (EAI-LLM), which not only recognizes emotions but also generates treating 3D movement data as unique input tokens within large language models...

This paper proposes a novel tractable approach for accurately analyzing both the coverage probability and achievable throughput of cellular networks. Specifically, we derive new procedure referred to as equivalent uniform-density plane-entity (EUDPE) method evaluating other-cell interference. Furthermore, demonstrate that our EUDPE provides universal effective means carry out lower bound analysis average various base-station distribution models can be found in practice, including stochastic...

We present FleetRec, a high-performance and scalable recommendation inference system within tight latency constraints. FleetRec takes advantage of heterogeneous hardware including GPUs the latest FPGAs equipped with high-bandwidth memory. By disaggregating computation memory to different types bridging their connections by high-speed network, gains best both worlds, can naturally scale out adding nodes cluster. Experiments on three production models up 114 GB show that outperforms optimized...

The photorefractive surface waves with nonlinearity of diffusion, drift, and photovoltaic effect is studied numerically for the first time. We find out that essential cause diffusion mechanism, but not drift effects. only has strong influence on profile waves; applied external electric field can also change waves, even destroy mode upon a threshold, which provides possible method to transform modes between high-frequency low-frequency modes.

In recent years, Virtual Cellular Manufacturing Systems, which combine virtual cells to construct new manufacturing systems in response changing market dynamics, have attracted considerable attention. Especially, the real-time scheduling of Systems has been significant importance. this article, a hybrid control architecture based on multi-agent technology is introduced support coordination mechanism schedule tasks and resources real-time. Using revised resource element approach with...

In recent years, as an emerging concept in industry, virtual cellular manufacturing systems (VCMSs) have attracted considerable attention, combining cells (VCs) to construct new response changing market dynamics. Manufacturing resource (MR) modelling approaches been used support VC formation. Considering that the shared issues VCMSs are not just about a machine, but some function parts of machine rather. Resource element (RE) methodologies define similar and exclusive capabilities MRs, such...

Summary In an attempt to promote the use of precast segmental bridge columns in regions moderate high seismicity, sliding planar joints have been adopted relieve adverse effects seismic action. However, despite ability survive earthquake, segments often result noticeable residual relative movements afterwards, which require costly repairs. To better understand kinetic and self‐centering performance with W‐shaped gently keyed interface, concept hysteresis center curve is put forward. A...

Surface second-harmonic generation excited by photorefractive surface electromagnetic wave with a diffusion mechanism of nonlinearity has been observed at the negative $c$ axis ${\mathrm{Sr}}_{0.6}{\mathrm{Ba}}_{0.4}{\mathrm{NbO}}_{3}$(SBN:60) experimentally. The $532\phantom{\rule{0.3em}{0ex}}\mathrm{nm}$ wavelength light is generated $1064\phantom{\rule{0.3em}{0ex}}\mathrm{nm}$ laser in passive guiding manner experiment, for fundamental beam insensitive to SBN crystal. transfer efficiency 1%/W.

The concept of Virtual Enterprise (VE), a special organization manufacturing units and enterprises, has attracted considerable attention in recent years. Unlike traditional enterprise, VE is most suitable production environments that experience frequent changes product mix. To complete complex task composed some sub-tasks, control architecture not versatile enough to coordinate schedule multi-site multi-type resources, especially resolving resource conflicts during operations. Using hybrid...

YARN is a popular cluster resource management platform. It does not, however, manage the network bandwidth resources which can significantly affect execution performance of those tasks having large volumes data to transfer within cluster. The shuffle phase MapReduce jobs features many such tasks. impact under utilization in more pronounced if capacities nodes are varied.

We consider the modes of surface waves with diffusion mechanism by band transport model photorefractive effect and nonlinear equation for first time. demonstrate relationship between angles incidence. The conditions realization at interface crystal a metal, linear dielectric lower refractive index, or another are discussed.

IOT needs to organize sensor resources monitor events in real world for all time. As result, huge number of data will be concentrated the system. Due difference sensors’ awareness on event, data’s qualities are different. The process task’s performance affected without discrimination quality. This paper introduced an approach, called Awareness Driven Schedule (ADS) that enables involved provide differentiated service by their awareness, address issue. In higher a resource’s event is, more...