Thomas, S. and Myakala, P. (2025) Beyond the Cloud: Federated Learning and Edge AI for the Next Decade. Journal of Computer and Communications, 13, 37-50. doi: 10.4236/jcc.2025.132004 .
The Max Schoenfeld School, a public school in the Bronx serving one of the poorest communities in the nation, is taking an ...
APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...
Abstract: Federated learning (FL), a decentralized machine learning approach, offers great performance while alleviating autonomy and confidentiality concerns. Despite FL's popularity, how to deal ...
As a result, decentralized approaches have emerged as a highly desirable pathway, enabling institutions to harness data's potential while safeguarding privacy and maintaining compliance. Federated ...
Copyright 2025 The Associated Press. All Rights Reserved. Workers pack dumplings at a production line at a food factory in Suqian city in east China’s Jiangsu ...
Abstract: In this paper, we investigate federated learning ... agent deep reinforcement learning (DRL) frameworks. We transform the primal problem into a Markov decision process (MDP) for the ...
[NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Policy Gradient with Byzantine Resilience framework for improving ...
Perpetual swap trading has been a niche within the decentralized finance sector ... As a specialized platform, it may have a steeper learning curve for new users. As a relatively new protocol ...
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