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Learning and stochastic optimization with non-i.i.d. data
On the Convergence of FedAvg on Non-IID Data
06 - Stochastic Global Optimisation (and an overview of where we are at in this series)
Terms: Independent and Identically Distributed (IID)
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Mladen Kolar: Adaptive Stochastic Optimization with Constraints
Stochastic Optimization for Big Data Machine Learning Problems
The Importance of Better Models in Stochastic Optimization...
Communication-Efficient Federated Data Augmentation on Non-IID Data
Stochastic Optimization and Sparse Statistical Recovery: An Optimal Algorithm for High Dimensions
The Benefit of Adaptivity in Stochastic Optimization [1/6]
Convergence and Dynamical Behavior of the ADAM Algorithm for Non Convex Stochastic Optimization