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System and method for cooperative data streaming

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A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks

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Connectivity is an important key performance indicator and a focal point of research in large-scale wireless networks. Due to path-loss attenuation of electromagnetic waves, direct wireless connectivity is limited to proximate devices. Nevertheless, connec ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Frugal Decentralized Learning

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Machine learning is currently shifting from a centralized paradigm to decentralized ones where machine learning models are trained collaboratively. In fully decentralized learning algorithms, data remains where it was produced, models are trained locally a ...

IEEE2022

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Vincent Gramoli

There is an increasing interest in a fast-growing machine learning technique called Federated Learning (FL), in which the model training is distributed over mobile user equipment (UEs), exploiting UEs' local computation and training data. Despite its advan ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Exponential Collapse Of Social Beliefs Over Weakly-Connected Heterogeneous Networks

Ali H. Sayed, Augusto José Rabelo Almeida Santos

We consider a distributed social learning problem where a network of agents is interested in selecting one among a finite number of hypotheses. The data collected by the agents might be heterogeneous, meaning that different sub-networks might observe data ...

IEEE2019

Live Demonstration: An IoT Cloud-Based Architecture for Anesthesia Monitoring

Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Abuduwaili Tuoheti, Nadia Tamburrano, Thiébaud Modoux

Medical Internet of Things (IoT) solutions are already paving the way towards the realization of Smart Hospitals. Following this trend, we propose an IoT cloud-based network for anesthesia on-line monitoring. This architecture allows the anesthesiologist t ...

IEEE2018

Deep Learning of Human Perception in Audio Event Classification

Samuel Denys Beuret, Yi Yu

In this paper, we introduce our recent studies on human perception in audio event classification. In particular, the pre-trained model VGGish is used as feature extractor to process audio data, and DenseNet is trained by and used as feature extractor for o ...

IEEE2018

Mapping large organizations

Dario Rodighiero

Today organizations are more than ever complex systems. They are large, ramified, distributed, and intertwined so that their organic structure seems like a tangle of activities. Day by day individuals contribute to keep these structures alive with their wo ...

2017

ReGLUation of cGAS

Andrea Ablasser

The detection of cytosolic DNA by the sensor cGAS triggers potent antiviral responses. New data now propose that cGAS is regulated on a post-translational level by glutamylation. ...

Nature Publishing Group2016

Frugal Topology Construction for Stream Aggregation in the Cloud

Rachid Guerraoui, Rhicheek Patra, Bao Duy Tran

Aggregation of streamed data is key to the expansion of the Internet of Things. This paper addresses the problem of designing a topology for reliably aggregating data flows from many devices arriving at a datacenter. Reliability here means ensuring operati ...

Ieee2016

System and method for cooperative data streaming

Christina Fragouli, Lorenzo Keller

A system and method for cooperative data streaming are disclosed. According to one embodiment, a system for cooperative data streaming comprises a group of devices comprising at least two devices, which are interested in obtaining the same content from the ...

2015