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FedADC: Accelerated federated learning with drift control
(IEEE, 2021)
Federated learning (FL) has become de facto framework for collaborative learning among edge devices with privacy concern. The core of the FL strategy is the use of stochastic gradient descent (SGD) in a distributed manner. ...
Emotion as an emergent phenomenon of the neurocomputational energy regulation mechanism of a cognitive agent in a decision-making task
(Sage, 2021-02)
Biological agents need to complete perception-action cycles to perform various cognitive and biological tasks such as maximizing their wellbeing and their chances of genetic continuation. However, the processes performed ...
Automated defect prioritization based on defects resolved at various project periods
(Elsevier, 2021-09)
Defect prioritization is mainly a manual and error-prone task in the current state-of-the-practice. We evaluated the effectiveness of an automated approach that employs supervised machine learning. We used two alternative ...
Content-aware playback speed control for low-latency live streaming of sports
(The ACM Digital Library, 2021)
There are two main factors that determine the viewer experience during the live streaming of sports content: latency and stalls. Latency should be low and stalls should not occur. Yet, these two factors work against each ...
COSMOS on steroids: a Cheap detector for cheapfakes
(The ACM Digital Library, 2021)
The growing prevalence of visual disinformation has become an important problem to solve nowadays. Cheapfake is a new term used for the altered media generated by non-AI techniques. In their recent COSMOS work, the authors ...
Time-correlated sparsification for communication-efficient federated learning
(IEEE, 2021)
Federated learning (FL) enables multiple clients to collaboratively train a shared model, with the help of a parameter server (PS), without disclosing their local datasets. However, due to the increasing size of the trained ...
Dynamic filtering and prioritization of static code analysis alerts
(IEEE, 2021)
We propose an approach for filtering and prioritizing static code analysis alerts while these alerts are being reviewed by the developer. We construct a Prolog knowledge base that captures the data flow information in the ...
Data model extension impact analysis
(IEEE, 2021)
Relational database schemas are subject to change. For instance, columns of a table can be modified, deleted or extended. These changes have an impact on the source code that utilizes the corresponding table. They also ...
Road to salvation: Streaming clients and content delivery networks working together
(IEEE, 2021-11-01)
Streaming media has truly become one of the most popular applications on the Internet. Viewers are spoiled for choice, and content providers compete to provide the best viewer experience. Traditionally, it has been challenging ...
Weight update skipping: Reducing training time for artificial neural networks
(IEEE, 2021-12)
Artificial Neural Networks (ANNs) are known as state-of-the-art techniques in Machine Learning (ML) and have achieved outstanding results in data-intensive applications, such as recognition, classification, and segmentation. ...
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