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04/16/2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Personalized federated learning (PFL) aims to harness the collective wis...
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03/07/2023
Investigating and modeling day-to-day route choices based on laboratory experiments. Part II: A route-dependent attraction-based stochastic process model
To explain day-to-day (DTD) route-choice behaviors and traffic dynamics ...
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03/07/2023
Investigating day-to-day route choices based on multi-scenario laboratory experiments. Part I: Route-dependent attraction and its modeling
In the area of urban transportation networks, a growing number of day-to...
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03/09/2022
Efficient Image Representation Learning with Federated Sampled Softmax
Learning image representations on decentralized data can bring many bene...
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01/28/2022
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
In classical federated learning, the clients contribute to the overall t...
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03/18/2020
Federated Visual Classification with Real-World Data Distribution
Federated Learning enables visual models to be trained on-device, bringi...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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09/13/2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
Federated Learning enables visual models to be trained in a privacy-pres...
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12/19/2017
Learning with Imprinted Weights
Human vision is able to immediately recognize novel visual categories af...
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09/16/2017
Scene-centric Joint Parsing of Cross-view Videos
Cross-view video understanding is an important yet under-explored area i...
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12/15/2015
Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation
In this paper, we aim to develop a method for automatically detecting an...
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12/06/2015
A Restricted Visual Turing Test for Deep Scene and Event Understanding
This paper presents a restricted visual Turing test (VTT) for story-line...
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06/18/2015
