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03/01/2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data
Emerging distributed applications recently boosted the development of de...
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10/28/2022
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings
Distributed machine learning (DML) can be an important capability for mo...
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01/29/2022
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions
Distributed machine learning (DML) over time-varying networks can be an ...
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11/21/2021
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning
Steiner Tree Problem (STP) in graphs aims to find a tree of minimum weig...
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11/21/2021
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification
Aspect-based sentiment classification aims to predict the sentiment pola...
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09/18/2021
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression
A fundamental issue for federated learning (FL) is how to achieve optima...
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10/11/2020
