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08/17/2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data
Federated learning (FL) is a distributed machine learning paradigm that ...
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12/01/2022
Differentially Private Learning with Per-Sample Adaptive Clipping
Privacy in AI remains a topic that draws attention from researchers and ...
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01/15/2022
Deep Unified Representation for Heterogeneous Recommendation
Recommendation system has been a widely studied task both in academia an...
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06/11/2020
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period
Distributed parallel stochastic gradient descent algorithms are workhors...
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12/30/2019
Variance Reduced Local SGD with Lower Communication Complexity
To accelerate the training of machine learning models, distributed stoch...
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06/28/2019
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
With the increase in the amount of data and the expansion of model scale...
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11/15/2018