Sara Babakniya
According to our database1,
Sara Babakniya
authored at least 8 papers
between 2021 and 2024.
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Bibliography
2024
AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design.
CoRR, 2024
2023
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter?
Trans. Mach. Learn. Res., 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory.
CoRR, 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge.
CoRR, 2022
2021
Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning.
SN Comput. Sci., 2021