most citedEnabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

28 citations · 45 across the 7 of their papers we have counts for

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cs.LG2024★ 28 cited

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi +3

Federated Learning (FL) represents a paradigm shift in machine learning, allowing collaborative model training while keeping data localized. This approach is particularly pertinent…

cs.LG2024★ 1 cited

Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators

Abdelatif Hafid, Maad Ebrahim, Ali Alfatemi +2

The rapid growth of the stock market has attracted many investors due to its potential for significant profits. However, predicting stock prices accurately is difficult because fin…