Fed-OGD: Mitigating Straggler Effects in Federated Learning via Orthogonal Gradient Descent
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DOI: 10.1109/tc.2025.3584272
Abstract: Federated Learning (FL) faces challenges due to straggler clients that impede timely parameter uploads, potentially leading to suboptimal global model performance. Existing approaches using synchronous and asynchronous communication suffer from long waiting times or convergence… read more here.
Keywords: gradient descent; fed ogd; straggler; orthogonal gradient ... See more keywords