1️⃣ The paper Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs (will be available online soon), joint work with Enea Monzio Compagnoni, Frank Norbert Proske, and Aurelien Lucchi got accepted to AISTATS 2025 as Oral! 2️⃣ Two papers Towards Faster Decentralized Stochastic Optimization with Communication Compression, joint work with Yuan Gao and Sebastian Stich, and Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise, joint work with Enea Monzio Compagnoni, Tianlin Liu, Frank Norbert Proske, Antonio Orvieto, Aurelien Lucchi, got accepted to ICLR. 3️⃣ And finally, the paper Partiall Personalized Federated Learning: Breaking the Curse of Data Heterogeneity, joint work with Konstantin Mishchenko, Eduard Gorbunov, Samuel Horváth, got accepted to TMLR.
