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08/07/2023
FLIPS: Federated Learning using Intelligent Participant Selection
This paper presents the design and implementation of FLIPS, a middleware...
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05/26/2023
GVdoc: Graph-based Visual Document Classification
The robustness of a model for real-world deployment is decided by how we...
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08/20/2022
Just-in-Time Aggregation for Federated Learning
The increasing number and scale of federated learning (FL) jobs necessit...
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03/23/2022
Adaptive Aggregation For Federated Learning
Advances in federated learning (FL) algorithms,along with technologies l...
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09/01/2021
Position Masking for Improved Layout-Aware Document Understanding
Natural language processing for document scans and PDFs has the potentia...
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05/19/2021
Separation of Powers in Federated Learning
Federated Learning (FL) enables collaborative training among mutually di...
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12/01/2020
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent
Federated learning enables multiple, distributed participants (potential...
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07/22/2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Federated Learning (FL) is an approach to conduct machine learning witho...
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06/24/2020
Effective Elastic Scaling of Deep Learning Workloads
The increased use of deep learning (DL) in academia, government and indu...
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01/24/2020
PoWER-BERT: Accelerating BERT inference for Classification Tasks
BERT has emerged as a popular model for natural language understanding. ...
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11/24/2019
Fatigue Detection
Nowadays, there are many fatigue detection methods and the majority of t...
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10/25/2019
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs
Training neural networks on image datasets generally require extensive e...
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04/17/2018
Automatic Assessment of Artistic Quality of Photos
This paper proposes a technique to assess the aesthetic quality of photo...
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11/02/2017
Efficient Training of Convolutional Neural Nets on Large Distributed Systems
Deep Neural Networks (DNNs) have achieved im- pressive accuracy in many ...
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11/01/2017