1 code implementation • 20 Dec 2023 • Yiyue Chen, Haris Vikalo, Chianing Wang
Motivated by high resource costs of centralized machine learning schemes as well as data privacy concerns, federated learning (FL) emerged as an efficient alternative that relies on aggregating locally trained models rather than collecting clients' potentially private data.
no code implementations • 23 Jan 2021 • Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
To our knowledge, this is the first decentralized optimization framework for time-varying directed networks that achieves such a convergence rate and applies to settings requiring sparsified communication.
no code implementations • 27 May 2020 • Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
We propose a communication-efficient algorithm for decentralized convex optimization that rely on sparsification of local updates exchanged between neighboring agents in the network.
no code implementations • 30 Oct 2019 • Yun Chen, Yiyue Chen, Zhengzhong Tu
Finally, key values for key features of the two poses are computed correspondingly in the pose error detection part, which helps give correction advice.