Durmus Alp Emre Acar

According to our database, Durmus Alp Emre Acar authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point.

Bokun Wang, Axel Berg, Durmus Alp Emre Acar, Chuteng Zhou

CoRR, 2024

2023

Scaffolding a Student to Instill Knowledge.

Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

FedHeN: Federated Learning in Heterogeneous Networks.

Durmus Alp Emre Acar, Venkatesh Saligrama

CoRR, 2022

Faster Algorithms for Learning Convex Functions.

Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis

Proceedings of the International Conference on Machine Learning, 2022

2021

Faster Convex Lipschitz Regression via 2-block ADMM.

Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis

CoRR, 2021

Debiasing Model Updates for Improving Personalized Federated Training.

Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama

Proceedings of the 38th International Conference on Machine Learning, 2021

Memory Efficient Online Meta Learning.

Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama

Proceedings of the 38th International Conference on Machine Learning, 2021

Federated Learning Based on Dynamic Regularization.

Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Budget Learning via Bracketing.

Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices.

Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cost aware Inference for IoT Devices.

Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019