most citedTowards Model Agnostic Federated Learning Using Knowledge Distillation

4 citations · 7 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2021

Can we learn gradients by Hamiltonian Neural Networks?

Aleksandr Timofeev, Andrei Afonin, Yehao Liu

In this work, we propose a meta-learner based on ODE neural networks that learns gradients. This approach makes the optimizer is more flexible inducing an automatic inductive bias…

cs.LG2021★ 4 cited

Towards Model Agnostic Federated Learning Using Knowledge Distillation

Andrei Afonin, Sai Praneeth Karimireddy

Is it possible to design an universal API for federated learning using which an ad-hoc group of data-holders (agents) collaborate with each other and perform federated learning? Su…