Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss

11 March 2023

Papers citing "Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss"

5 / 5 papers shown

Title
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 33 161 0 25 Sep 2021
Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering Ji Yin Zhiyuan Zhang Evangelos Theodorou Panagiotis Tsiotras LLMSV 75 54 0 24 Sep 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 21 15 0 14 Jul 2021
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis 11 38 0 24 Apr 2021
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 43 85 0 23 Oct 2020