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Found 2 papers, 1 papers with code
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
Machine learning problems with multiple objective functions appear either in learning with multiple criteria where learning has to make a trade-off between multiple performance metrics such as fairness, safety and accuracy; or, in multi-task learning where multiple tasks are optimized jointly, sharing inductive bias between them.
On the Stability Analysis of Open Federated Learning Systems
We consider the open federated learning (FL) systems, where clients may join and/or leave the system during the FL process.
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