Short bio
M2 Orsay/Paris-Saclay
Thesis title
On Federated and Distributed Learning Problems.
Short abstract
We study Federated and Distributed learning problems, with a strong incentive on theoretical guarantees. A (possibly large) number of agents aim at making predictions (supervised or unsupervised learning). To what extent can they benefit from collaborating with each other, depending on the learning problem and the communication constraints ?