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cs.LG2022
Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs
Matin Mortaheb, Sennur Ulukus
Decentralized and federated learning algorithms face data heterogeneity as one of the biggest challenges, especially when users want to learn a specific task. Even when personalize…
cs.LG2022
Hierarchical Over-the-Air FedGradNorm
Cemil Vahapoglu, Matin Mortaheb, Sennur Ulukus
Multi-task learning (MTL) is a learning paradigm to learn multiple related tasks simultaneously with a single shared network where each task has a distinct personalized header netw…
cs.LG2022
FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning
Matin Mortaheb, Cemil Vahapoglu, Sennur Ulukus
Multi-task learning (MTL) is a novel framework to learn several tasks simultaneously with a single shared network where each task has its distinct personalized header network for f…