Ellango Jothimurugesan
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View article: Federated Learning under Distributed Concept Drift
Federated Learning under Distributed Concept Drift Open
Federated Learning (FL) under distributed concept drift is a largely unexplored area. Although concept drift is itself a well-studied phenomenon, it poses particular challenges for FL, because drifts arise staggered in time and space (acro…
View article: DriftSurf: Stable-State / Reactive-State Learning under Concept Drift
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift Open
When learning from streaming data, a change in the data distribution, also known as concept drift, can render a previously-learned model inaccurate and require training a new model. We present an adaptive learning algorithm that extends pr…
View article: DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift Open
When learning from streaming data, a change in the data distribution, also known as concept drift, can render a previously-learned model inaccurate and require training a new model. We present an adaptive learning algorithm that extends pr…