Posts

We have one paper at the main conference. Also we have submitted 3 papers to OPT 2021: Optimization for Machine Learning and New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership workshops. All were accepted! These papers are

1) Distributed Saddle-Point Problems Under Similarity (with Gesualdo Scutari, Alexander Rogozin and Alexander Gasnikov) - main conference (poster) - arxiv

2) Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes (with Abdurakhmon Sadiev, Ekaterina Borodich, Darina Dvinskikh, Martin Takac and Alexander Gasnikov) - OPT ML workshop (spotlight) - arxiv

3) Random-reshuffled SARAH does not need a full gradient computations (with Martin Takac) - OPT ML workshop (poster)

4) Decentralized Personalized Federated Min-Max Problems (with Ekaterina Borodich, Abdurakhmon Sadiev, Vadim Sushko, Nikolay Savelyev, Martin Takac and Alexander Gasnikov) - NF in FL workshop - arxiv

Oct 22, 2021