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Found 5 papers, 3 papers with code
Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
Learning at the edges has become increasingly important as large quantities of data are continually generated locally.
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
Federated Recommendation (FedRec) systems have emerged as a solution to safeguard users' data in response to growing regulatory concerns.
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization
Decentralized learning has been studied intensively in recent years motivated by its wide applications in the context of federated learning.
Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building
The design of decentralized learning algorithms is important in the fast-growing world in which data are distributed over participants with limited local computation resources and communication.
NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit
This paper demonstrates neural network-based toolkit namely NNVLP for essential Vietnamese language processing tasks including part-of-speech (POS) tagging, chunking, named entity recognition (NER).
