Giorgi Nadiradze

According to our database, Giorgi Nadiradze authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Communication-Efficient Federated Learning With Data and Client Heterogeneity.

Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Provably-Efficient and Internally-Deterministic Parallel Union-Find.

Alexander Fedorov, Diba Hashemi, Giorgi Nadiradze, Dan Alistarh

Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

2022

Elastic Consistency: A Consistency Criterion for Distributed Optimization.

Dan Alistarh, Ilia Markov, Giorgi Nadiradze

SIGACT News, 2022

Hybrid Decentralized Optimization: First- and Zeroth-Order Optimizers Can Be Jointly Leveraged For Faster Convergence.

Shayan Talaei, Giorgi Nadiradze, Dan Alistarh

CoRR, 2022

QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient.

Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh

CoRR, 2022

Dynamic Averaging Load Balancing on Cycles.

Dan Alistarh, Giorgi Nadiradze, Amirmojtaba Sabour

Algorithmica, 2022

Multi-queues can be state-of-the-art priority schedulers.

Anastasiia Postnikova, Nikita Koval, Giorgi Nadiradze, Dan Alistarh

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

2021

Breaking (Global) Barriers in Parallel Stochastic Optimization With Wait-Avoiding Group Averaging.

Shigang Li, Tal Ben-Nun, Giorgi Nadiradze, Salvatore Di Girolamo, Nikoli Dryden, Dan Alistarh, Torsten Hoefler

IEEE Trans. Parallel Distributed Syst., 2021

Lower Bounds for Shared-Memory Leader Election Under Bounded Write Contention.

Dan Alistarh, Rati Gelashvili, Giorgi Nadiradze

Proceedings of the 35th International Symposium on Distributed Computing, 2021

Asynchronous Decentralized SGD with Quantized and Local Updates.

Giorgi Nadiradze, Amirmojtaba Sabour, Peter Davies, Shigang Li, Dan Alistarh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.

Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

PopSGD: Decentralized Stochastic Gradient Descent in the Population Model.

Giorgi Nadiradze, Amirmojtaba Sabour, Aditya Sharma, Ilia Markov, Vitaly Aksenov, Dan Alistarh

CoRR, 2019

Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers.

Dan Alistarh, Giorgi Nadiradze, Nikita Koval

Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019

2018

The Transactional Conflict Problem.

Dan Alistarh, Syed Kamran Haider, Raphael Kübler, Giorgi Nadiradze

Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

Distributionally Linearizable Data Structures.

Dan Alistarh, Trevor Brown, Justin Kopinsky, Jerry Zheng Li, Giorgi Nadiradze

Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms.

Dan Alistarh, Trevor Brown, Justin Kopinsky, Giorgi Nadiradze

Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing, 2018

2017

The Power of Choice in Priority Scheduling.

Dan Alistarh, Justin Kopinsky, Jerry Li, Giorgi Nadiradze

Proceedings of the ACM Symposium on Principles of Distributed Computing, 2017

2016

On approximating strip packing with a better ratio than 3/2.

Giorgi Nadiradze, Andreas Wiese

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016