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Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.

Su WangMengyuan LeeSeyyedali HosseinalipourRoberto MorabitoMung ChiangChristopher G. Brinton
Published in: INFOCOM (2021)
Keyphrases
  • learning theory
  • computational learning theory
  • generalization bounds
  • widely applicable
  • learning algorithm
  • graph theory
  • instructional design
  • data dependent
  • theoretical analysis
  • sampling methods
  • automata theory