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Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach

https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf

To circumvent the above challenges, we introduce the Mean-Field Game (MFG) theory [29] to reduce a one-to-many game to a one-to-one game and further propose a joint MFG framework for mobile edge Caching and Pricing, namely MFG-CP, where each EDP can optimize its own utility in a distributed manner.

0004760417 293..324

https://sites.temple.edu/dwolf/files/2020/06/Dissoi-Logoi-EGE.pdf

1. Orientation to the Text It is generally agreed that the text T that we call the Dissoi Logoi was originally composed within the first decade or so after the Peloponnesian War. The single most compelling piece of evidence in support of this dating is the text’s description of the Spartans victory

Balancing Privacy and Accuracy using Significant Gradient Protection in ...

https://cis.temple.edu/~wu/research/publications/Publication_files/J-CT-2024-Balancing%20Privacy%20and%20Accuracy%20using%20Siginificant%20Gradient%20Protection%20in%20Federated%20Learning.pdf

Abstract—Previous state-of-the-art studies have demonstrated that adversaries can access sensitive user data by membership inference attacks (MIAs) in Federated Learning (FL). Intro-ducing differential privacy (DP) into the FL framework is an effective way to enhance the privacy of FL. Nevertheless, in differentially private federated learning (DP-FL), local gradients become excessively ...

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf

Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...