Marco Bornstein

According to our database, Marco Bornstein authored at least 5 papers between 2022 and 2023.

Collaborative distances:

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

2023

RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation.

Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang

CoRR, 2023

Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing.

Tahseen Rabbani, Marco Bornstein, Furong Huang

CoRR, 2023

Large-Scale Distributed Learning via Private On-Device LSH.

Tahseen Rabbani, Marco Bornstein, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication.

Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent.

Marco Bornstein, Jin-Peng Liu, Jingling Li, Furong Huang

CoRR, 2022