FedDEA, a top-magnitude masking and rescaling aggregation method, reports consistent improvement for unified multi-task federated models over eight base optimizers on NYUD-V2 and PASCAL-Context.
Neural multi-task learning in drug design
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Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling
FedDEA, a top-magnitude masking and rescaling aggregation method, reports consistent improvement for unified multi-task federated models over eight base optimizers on NYUD-V2 and PASCAL-Context.