Summary of Electrical Load Forecasting in Smart Grid: a Personalized Federated Learning Approach, by Ratun Rahman et al.
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approachby Ratun Rahman, Neeraj Kumar,…
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approachby Ratun Rahman, Neeraj Kumar,…
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Databy Kai Helli, David Schnurr, Noah…
KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap Forwardby Divesh Basina,…
Gender Bias Mitigation for Bangla Classification Tasksby Sajib Kumar Saha Joy, Arman Hassan Mahy, Meherin…
MTA: Multimodal Task Alignment for BEV Perception and Captioningby Yunsheng Ma, Burhaneddin Yaman, Xin Ye,…
Patient-Specific Models of Treatment Effects Explain Heterogeneity in Tuberculosisby Ethan Wu, Caleb Ellington, Ben Lengerich,…
Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slicesby Huy Tran, Yikun Bai, Ashkan Shahbazi, John…
Pluralistic Alignment Over Timeby Toryn Q. Klassen, Parand A. Alamdari, Sheila A. McIlraithFirst submitted to…
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solutionby Jinbo…
Enhancing PTSD Outcome Prediction with Ensemble Models in Disaster Contextsby Ayesha Siddiqua, Atib Mohammad Oni,…