most citedOvercoming Forgetting in Federated Learning on Non-IID Data

143 citations · 143 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019★ 143 cited

Overcoming Forgetting in Federated Learning on Non-IID Data

Neta Shoham, Tomer Avidor, Aviv Keren +4

We tackle the problem of Federated Learning in the non i.i.d. case, in which local models drift apart, inhibiting learning. Building on an analogy with Lifelong Learning, we adapt…

math.NA2018

Sketching for Principal Component Regression

Liron Mor-Yosef, Haim Avron

Principal component regression (PCR) is a useful method for regularizing linear regression. Although conceptually simple, straightforward implementations of PCR have high computati…