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2020 – today
- 2024
[c1]Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh:
Communication-Efficient Federated Learning With Data and Client Heterogeneity. AISTATS 2024: 3448-3456- [i5]Shayan Talaei, Mohammadreza Pourreza, Yu-Chen Chang, Azalia Mirhoseini, Amin Saberi:
CHESS: Contextual Harnessing for Efficient SQL Synthesis. CoRR abs/2405.16755 (2024) - [i4]Ali AhmadiTeshnizi, Wenzhi Gao, Herman Brunborg, Shayan Talaei, Madeleine Udell:
OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale. CoRR abs/2407.19633 (2024) - [i3]Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Ö. Arik:
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL. CoRR abs/2410.01943 (2024) - 2022
- [i2]Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh:
QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient. CoRR abs/2206.10032 (2022) - [i1]Shayan Talaei, Giorgi Nadiradze, Dan Alistarh:
Hybrid Decentralized Optimization: First- and Zeroth-Order Optimizers Can Be Jointly Leveraged For Faster Convergence. CoRR abs/2210.07703 (2022)
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