🏢 George Mason University
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
·1715 words·9 mins·
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Machine Learning
Federated Learning
🏢 George Mason University
Amplified SCAFFOLD: A new algorithm for federated learning significantly reduces communication rounds under periodic client participation and heterogeneous data, achieving linear speedup and resilienc…
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
·406 words·2 mins·
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Machine Learning
Meta Learning
🏢 George Mason University
AccBO: A new accelerated algorithm achieves O(ε⁻³) oracle complexity for stochastic bilevel optimization with unbounded smoothness, significantly improving upon existing O(ε⁻⁴) methods.