| 2025 | AAAI | Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence. | Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze, Dan Alistarh |
| 2024 | AISTATS | Communication-Efficient Federated Learning With Data and Client Heterogeneity. | Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh |
| 2023 | SPAA | Provably-Efficient and Internally-Deterministic Parallel Union-Find. | Alexander Fedorov, Diba Hashemi, Giorgi Nadiradze, Dan Alistarh |
| 2022 | PPoPP | Multi-queues can be state-of-the-art priority schedulers. | Anastasiia Postnikova, Nikita Koval, Giorgi Nadiradze, Dan Alistarh |
| 2021 | AAAI | Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent. | Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh |
| 2020 | ICALP | Dynamic Averaging Load Balancing on Cycles. | Dan Alistarh, Giorgi Nadiradze, Amirmojtaba Sabour |
| 2019 | SPAA | Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers. | Dan Alistarh, Giorgi Nadiradze, Nikita Koval |
| 2018 | PODC | Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms. | Dan Alistarh, Trevor Brown, Justin Kopinsky, Giorgi Nadiradze |
| 2018 | SPAA | Distributionally Linearizable Data Structures. | Dan Alistarh, Trevor Brown, Justin Kopinsky, Jerry Zheng Li, Giorgi Nadiradze |
| 2018 | SPAA | The Transactional Conflict Problem. | Dan Alistarh, Syed Kamran Haider, Raphael Kbler, Giorgi Nadiradze |
| 2017 | PODC | The Power of Choice in Priority Scheduling. | Dan Alistarh, Justin Kopinsky, Jerry Li, Giorgi Nadiradze |
| 2016 | SODA | On approximating strip packing with a better ratio than 3/2. | Giorgi Nadiradze, Andreas Wiese |