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May 20, 2024 · The reason why this is the case is that a good foundation model has already learned relevant general representations, and thus, adapting it to ...
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Introduction. Federated learning (FL) has arisen as an alternative to col- lecting large amounts of data in a central place to train a ma-.
Jul 16, 2023 · Federated learning in practice isn't about passively recieving a model from another company without understanding the data that produced it. You ...
Jan 1, 2024 · This paper aims to deepen the understanding of their synergistic relationship, highlighting the motivations, challenges, and future directions.
Abstract—With the tremendous success of large language mod- els represented by ChatGPT, artificial intelligence has ushered.
Dec 16, 2023 · Federated learning (FL) is a new paradigm in machine learning that can mitigate these challenges by training a global model using distributed data.
Dec 8, 2022 · Is Federated Learning Still Alive in the Foundation Model Era? If this question makes you wonder, join us on Monday March 25th at Stanford ...
Since the emergence of foundation models has been a relatively recent phenomenon, their full impact on federated learning has not yet been well explored or ...
Federated learning is a sub-field of machine learning focusing on settings in which multiple entities collaboratively train a model while ensuring that ...
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Since the emergence of foundation models has been a relatively recent phenomenon, their full impact on federated learning has not yet been well explored or ...