FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data

no code implementations • 7 May 2024 • Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang

One unique challenge of federated self-supervised learning (FedSSL) is that the global objective of FedSSL usually does not equal the weighted sum of local SSL objectives.

Federated Learning Self-Supervised Learning

Inference with Hybrid Bio-hardware Neural Networks

no code implementations • 28 May 2019 • Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan

This paper studies whether a bio-plausible model of a in vitro living neural network can be used to perform machine learning tasks and achieve good inference accuracy.

Handwritten Digit Recognition Image Classification +2