PsHD compared to sample representation and pair-wise similarity distillation methods theoretically and experimentally.

Federated Learning (FL) is an emerging collaborative machine learning framework where multiple clients train the global model without sharing their own datasets.

In this paper, we propose FedMRUR by adopting the manifold model fusion scheme and a new global optimizer to alleviatethenegativeimpacts.

Dataset documentation and intended uses. Recommended documentation frameworks include datasheets for datasets, dataset nutrition labels, data statements for NLP, and accountability frameworks. Author statement that they bear all responsibility in case of violation of rights, etc., and Links to access the dataset and its metadata. Simulation environments should link to (open source) code repositories. The dataset itself should ideally use an open and widely used data format.

This highlights an urgent need of contributions from the machine learning community.

The Kremlin has "strongly" rejected an assessment by five European countries that the Russian state killed jailed opposition leader Alexey Navalny by poisoning him. Navalny, President Vladimir Putin's fiercest domestic opponent for years, died in an Arctic prison colony on February 16, 2024 while serving a 19-year sentence for "extremism", a charge he and his supporters said was punishment for his opposition work. "We naturally do not accept such accusations. We consider them biased and baseless," Kremlin spokesman Dmitry Peskov told reporters during a daily briefing call on Monday. "In fact, we strongly reject them," he added.