%0 Journal Article %1 journals/corr/abs-2301-10400 %A Yang, Wenkai %A Lin, Yankai %A Zhao, Guangxiang %A Li, Peng %A Zhou, Jie %A Sun, Xu %D 2023 %J CoRR %K dblp %T When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. %U http://dblp.uni-trier.de/db/journals/corr/corr2301.html#abs-2301-10400 %V abs/2301.10400

@article{journals/corr/abs-2301-10400, added-at = {2023-07-13T00:00:00.000+0200}, author = {Yang, Wenkai and Lin, Yankai and Zhao, Guangxiang and Li, Peng and Zhou, Jie and Sun, Xu}, biburl = {https://www.bibsonomy.org/bibtex/267418048f1b905b5d42736384140cdfa/dblp}, ee = {https://doi.org/10.48550/arXiv.2301.10400}, interhash = {98b409f63a94200229f0c4fbb387e2e7}, intrahash = {67418048f1b905b5d42736384140cdfa}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-09T00:06:07.000+0200}, title = {When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2301.html#abs-2301-10400}, volume = {abs/2301.10400}, year = 2023 }