federated learning
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
... Much research has explored how to minimize communi- cation costs during distributed stochastic gradient descent, including in federated learning scenarios. For example, [1, 2] demonstrate how distributed ...
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Federated learning with hierarchical clustering of local updates to improve training on non-IID data
... Abstract—Federated learning (FL) is a well established method for performing machine learning tasks over massively distributed ...that learning a single joint model is often not optimal in the ...
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Averaging is probably not the optimum way of aggregating parameters in federated learning
... There are few other attempts to study federated learning from an information-theoretic perspective. In [34], they apply information theory to understand the aggregation process of DNNs in the ...
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Averaging is Probably not the Optimum Way of Aggregating Parameters in Federated Learning
... Abstract: Federated learning is a decentralized topology of deep learning, that trains a shared model through data distributed among each client (like mobile phones, wearable devices), in order to ...
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SAFA : a semi-asynchronous protocol for fast federated learning with low overhead
... of federated learning with unreliable end devices, we propose a semi-asynchronous protocol which incorporates a novel client selection algorithm decoupling the central server and the selected clients for a ...
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Federated Learning of N Gram Language Models
... ated learning. Federated learning is a dis- tributed computation platform that can be used to train global models for portable devices such as smart ...phones. Federated learning is ...
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Federated Learning in Vehicular Networks
... Federated learning (FL) has been recently introduced with the goal of bringing ML down to the edge level [2], as illus- trated in Figure ...the learning model is ...the learning models by ...
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Federated Learning for Mortality Prediction in Intensive Care Units
... the federated gradient boosting method offers a minor boost in performance compared to centralized gradient boosting trained with less data at ...The federated random forest used in this thesis may offer ...
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Federated Machine Learning
... universal learning model correctness as the two objectives, lead to the formulation the federated learning as a bi- impartial optimisation question and answered by the multi-objective evolutionary ...
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De-centralized Learning for Radio Network Key Performance Indicator Prediction
... machine learning technique called federated learning (Konečný, McMahan, ...distributed learning. It consists of performing machine learning on multi- ple edge devices and simultaneously ...
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Device association for RAN slicing based on hybrid federated deep reinforcement learning
... emerging federated learning (FL), a distributed learning paradigm with data protection, provides an effective tool to address this type of issues in mobile ...reinforcement learning (HDRL) ...
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Federated Grids and their Security
... We examine issues involved in creating “virtual Grids” out of specific Grid installations. We see it as inevitable that Grids will be established as islands of resource collections that will need to be federated ...
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The Federated Event Service
... End-to-end event context integrity requirements cannot be facilitated in a general federated system because event services and the FES infrastructure (gateways, adapters) do not provide the same capabilities. ...
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Data Access and Management Services on Grid
... An increasing number of applications manage data at very large scale, of both size and distribution. In this paper, we discuss data management and access services for such applications, in the context of a grid. The ...
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EUDAT - Open Data Services for Research
... A Federated and Distributed CDI Generic data centres Community data sites • EUDAT is about providing solutions in a federated environment • Independent and sustainable centers work[r] ...
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Federated Identification Architecture
... [11]. Federated identity architecture lets users dynamically distribute identity information across security domains, increasing the portability of their digital identities ...are Federated identity ...
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Steve Chan
... used federated identity standards, principally OASIS' Security Assertion Markup Language (SAML), to provide a federated single sign-on and attribute exchange ...
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National federated searching
... 3 Lobby national government to provide money to establish repositories for all higher education research. By[r] ...
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Federated Aggregated Search
... Initially, a one-query term needs to be selected. Callan and Connell [13] investigated two different selection strategies: a) learned resource description (lrd) where each term is randomly selected from the resource ...
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FEDERATED INVESTORS, INC.
... of Federated to keep money market fund products open to new and/or existing shareholders and to collect fees in connection with the management of such ...neither Federated nor any other person assumes ...
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