Achieving Lightweight Federated Advertising with Self-Supervised Split Distillation

As an emerging secure learning paradigm in leveraging cross-agency private data, vertical federated learning (VFL) is expected to improve advertising models by enabling the joint learning of complementary user attributes privately owned by the advertiser and the publisher. However, there are two key challenges in applying it to advertising systems: a) the limited scale of labeled overlapping samples, and b) the high cost of real-time cross-agency serving. In this paper, we propose a semi-supervised split distillation framework VFed-SSD to alleviate the two limitations. We identify that: i) there are massive unlabeled overlapped data available in advertising systems, and ii) we can keep a balance between model performance and inference cost by decomposing the federated model. Specifically, we develop a self-supervised task Matched Pair Detection (MPD) to exploit the vertically partitioned unlabeled data and propose the Split Knowledge Distillation (SplitKD) schema to avoid cross-agency serving. Empirical studies on three industrial datasets exhibit the effectiveness of our methods, with the median AUC over all datasets improved by 0.86% and 2.6% in the local deployment mode and the federated deployment mode respectively. Overall, our framework provides an efficient federation-enhanced solution for real-time display advertising with minimal deploying cost and significant performance lift.Comment: Accepted to the Trustworthy Federated Learning workshop of IJCAI2022 (FL-IJCAI22). 6 pages, 3 figures, 3 tables Old title: Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfe

Vertical Federated Learning

Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with different features about the same set of users jointly train machine learning models without exposing their raw data or model parameters. Motivated by the rapid growth in VFL research and real-world applications, we provide a comprehensive review of the concept and algorithms of VFL, as well as current advances and challenges in various aspects, including effectiveness, efficiency, and privacy. We provide an exhaustive categorization for VFL settings and privacy-preserving protocols and comprehensively analyze the privacy attacks and defense strategies for each protocol. In the end, we propose a unified framework, termed VFLow, which considers the VFL problem under communication, computation, privacy, and effectiveness constraints. Finally, we review the most recent advances in industrial applications, highlighting open challenges and future directions for VFL

Vertical Semi-Federated Learning for Efficient Online Advertising

As an emerging secure learning paradigm in leveraging cross-silo private data, vertical federated learning (VFL) is expected to improve advertising models by enabling the joint learning of complementary user attributes privately owned by the advertiser and the publisher. However, the 1) restricted applicable scope to overlapped samples and 2) high system challenge of real-time federated serving have limited its application to advertising systems. In this paper, we advocate new learning setting Semi-VFL (Vertical Semi-Federated Learning) as a lightweight solution to utilize all available data (both the overlapped and non-overlapped data) that is free from federated serving. Semi-VFL is expected to perform better than single-party models and maintain a low inference cost. It's notably important to i) alleviate the absence of the passive party's feature and ii) adapt to the whole sample space to implement a good solution for Semi-VFL. Thus, we propose a carefully designed joint privileged learning framework (JPL) as an efficient implementation of Semi-VFL. Specifically, we build an inference-efficient single-party student model applicable to the whole sample space and meanwhile maintain the advantage of the federated feature extension. Novel feature imitation and ranking consistency restriction methods are proposed to extract cross-party feature correlations and maintain cross-sample-space consistency for both the overlapped and non-overlapped data. We conducted extensive experiments on real-world advertising datasets. The results show that our method achieves the best performance over baseline methods and validate its effectiveness in maintaining cross-view feature correlation

Development and Applications of a Novel Intermittent Solids Feeder for Pyrolysis Reactors

This PhD research addresses the challenge of feeding biomass residues into fluidized bed reactors for pyrolysis, through the development of a novel intermittent solid slug feeder, both for laboratory-scale and large-scale reactors. The new feeder can successfully handle biomass residues that are either too cohesive or thermally sensitive for traditional feeders. To optimize the novel feeder performance, a model for the pulsating solids flow was developed from experimental data collected with ideal slugs, as well as real biomass flow. The model was validated using both a laboratory-scale (\u3c 10 kg/hr) and large-scale feeder (\u3e 250 kg/hr). Several important variables were identified. They include the material flow properties, the pulse gas pressure and volume, and the feeding tube length and material. The goals of this study were to (a) characterize the fundamental dynamic behavior of the biomass slugs in the feeder, (b) maximize the solid-to-gas feeding ratio, and thus minimize energy consumption and cost, (c) minimize the accumulation of “straggler” biomass material in the feeding tube between pulses, and thus prevent biomass heating in the feeding tube, which can induce plugging, and (d) develop and validate a predictive model for the slug velocity at any location in the feeding tube, which can be applied to feeder design for any biomass feedstock. An advantage of the new large-scale feeder technology is that it can handle larger biomass particles than traditional feeder technologies. An issue with large particles is that they require relatively long drying, which must be optimized. A model was therefore developed for drying, which takes shrinkage, and internal and external mass transfer limitations into account. The thesis is supplemented with additional work based on the application of the novel feeder for pyrolysis studies with various biomass residues. The feeder technology made it possible to perform the first ever pyrolysis studies, in industrially-relevant equipment, on pure meat and bone meal residue, and on unmodified and undiluted Kraft lignin. Appendices include a business case-study of the implementation of the technologies developed in this thesis on large-scale pyrolysis and an additional pyrolysis study on tucumã seeds, which utilized the novel feeder

CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

Proceedings of the European Conference on Agricultural Engineering AgEng2021

This proceedings book results from the AgEng2021 Agricultural Engineering Conference under auspices of the European Society of Agricultural Engineers, held in an online format based on the University of Évora, Portugal, from 4 to 8 July 2021. This book contains the full papers of a selection of abstracts that were the base for the oral presentations and posters presented at the conference. Presentations were distributed in eleven thematic areas: Artificial Intelligence, data processing and management; Automation, robotics and sensor technology; Circular Economy; Education and Rural development; Energy and bioenergy; Integrated and sustainable Farming systems; New application technologies and mechanisation; Post-harvest technologies; Smart farming / Precision agriculture; Soil, land and water engineering; Sustainable production in Farm buildings

Service Undone: A Grounded Theory of Strategically Constructed Silos and Their Impact on Customer-Company Interactions from the Perspective of Retail Employees

This work elaborates the impacts of strategically constructed silos that are not byproducts of flagging cross-departmental cooperation or the cumulative effect of decades of decentralized command and control. Rather, these silos are strategically intended structures within organizations. Most significantly, the substantive theory of strategically constructed silos and their impact on customer service contributes to the field by illustrating the presence and consequence of silos occurring in suboptimal conditions. The existence of silos has implications that extend far beyond the retail area. A key take-away from this research is that contrary to how most customer service processes are designed, not all customer-company interactions are alike. As shown in the data, interaction types vary both in regard to the degree of knowledge needed by retail employees to fully serve customers, and the routine or nonroutine nature of the interaction. This is an important finding since it directly relates to whether the existence of a silo is appropriate (or optimal) for a specific interaction or task. Additionally, the findings suggest the role that a task\u27s routine-ness plays is secondary to the degree of specialized knowledge needed by retail employees to meet customer expectations. Understanding the various customer-company interaction types and how each interaction type may be affected by silos is crucial for designing customer experiences that will sustain over time. Likewise, identifying customer-company interaction types correctly and then subsequently developing strategies to support these interaction types is critical for both customer experience management (CEM) initiatives and customer relationship management (CRM) system design within the company. This work provides an overview of the implications of strategically constructed silos occurring in suboptimal conditions and provides recommendations for diagnosing customer-company interactions based on interaction type. By identifying strategically constructed silos as an intended structure of the company, the model elaborated here works to deliver prescriptive and specific strategies for managers and employees\u27 use as they attempt to improve their firm\u27s customer-company interaction outcomes

Expert Consultation on Market Information Systems and Agricultural Commodity: Exchanges: Strengthening Market Signals and Institutions. Proceedings of an expert meeting held in Amsterdam, The Netherlands, 28–30 November 2005

The Expert Consultation on Market Information Systems and Agricultural Commodity Exchanges: Strengthening Market Signals and Institutions was convened to review CTA’s investments in MIS and ACEs within a broad perspective to determine which are the more successful systems, what conditions have enabled them to function well, and how they are being used by farmers’ organisations, traders and other development partners..

1980-1981 Undergraduate Catalog

1980-1981 undergraduate catalog of Morehead State University