Durmus Alp Emre Acar

13 papers A* 6A 2Journal 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point. CoRR Bokun Wang, Axel Berg, Durmus Alp Emre Acar, Chuteng Zhou
2023	A*	`conf`	Scaffolding a Student to Instill Knowledge. ICLR Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
2022	A*	`conf`	Faster Algorithms for Learning Convex Functions. ICML Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis
2022	J	`jnl`	FedHeN: Federated Learning in Heterogeneous Networks. CoRR Durmus Alp Emre Acar, Venkatesh Saligrama
2021	A*	`conf`	Debiasing Model Updates for Improving Personalized Federated Training. ICML Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021	J	`jnl`	Faster Convex Lipschitz Regression via 2-block ADMM. CoRR Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis
2021	A*	`conf`	Federated Learning Based on Dynamic Regularization. ICLR Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021	J	`jnl`	Federated Learning Based on Dynamic Regularization. CoRR Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021	A*	`conf`	Memory Efficient Online Meta Learning. ICML Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama
2020	A	`conf`	Budget Learning via Bracketing. AISTATS Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
2020	J	`jnl`	Budget Learning via Bracketing. CoRR Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama
2019	A	`conf`	Cost aware Inference for IoT Devices. AISTATS Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama
2019	A*	`conf`	Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. NeurIPS Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain