69 citations · 157 across the 10 of their papers we have counts for
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cs.LG2022★ 46 cited
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins, Hamed Hassani, Aryan Mokhtari +1
The Federated Averaging (FedAvg) algorithm, which consists of alternating between a few local stochastic gradient updates at client nodes, followed by a model averaging update at t…
cs.LG2022★ 4 cited
MAML and ANIL Provably Learn Representations
Liam Collins, Aryan Mokhtari, Sewoong Oh +1
Recent empirical evidence has driven conventional wisdom to believe that gradient-based meta-learning (GBML) methods perform well at few-shot learning because they learn an express…