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Sasha Voitovych

PhD Student @ MIT IDSS
voitovyc {at} mit {dot} edu


About

I am a second-year PhD student at MIT’s Institute for Data, Systems, and Society (IDSS) and the Laboratory for Information and Decision Systems (LIDS). I am very fortunate to be advised by Alexander (Sasha) Rakhlin. My interests lie broadly in the theory of machine learning. During my undergrad at the University of Toronto, I was very lucky to work with Daniel Roy, Rachid Guerraoui, and Dan Alistarh.

Sometimes, you may see me mentioned as ‘Oleksandr Voitovych,’ which is my full name.

Publications

[ (αβ) is for alphabetical authorship, * is for equal contribution ]

  1. On Traceability in $\ell_p$ Stochastic Convex Optimization
    Sasha Voitovych*, Mahdi Haghifam*, Idan Attias, Gintare Karolina Dziugaite, Roi Livni, Dan Roy
    Conference on Neural Information Processing Systems (NeurIPS, Spotlight), 2025.
    PDF

  2. Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
    Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych (αβ)
    International Conference on Machine Learning (ICML), 2024.
    PDF

  3. On the Inherent Anonymity of Gossiping
    Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko, Rafael Pinot, Sasha Voitovych (αβ)
    International Symposium on Distributed Computing (DISC), 2023.
    PDF

  4. Near-Optimal Leader Election in Population Protocols on Graphs
    Dan Alistarh, Joel Rybicki, Sasha Voitovych (αβ)
    ACM Symposium on Principles of Distributed Computing (PODC), 2022.
    PDF


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