HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learningby Gyudong Kim, Mehdi Ghasemi, Soroush…
Aligners: Decoupling LLMs and Alignmentby Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun,…
Regularized DeepIV with Model Selectionby Zihao Li, Hui Lan, Vasilis Syrgkanis, Mengdi Wang, Masatoshi UeharaFirst…
Learning to Decode Collaboratively with Multiple Language Modelsby Shannon Zejiang Shen, Hunter Lang, Bailin Wang,…
Latent Dataset Distillation with Diffusion Modelsby Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov,…
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Databy Avi Amalanshu, Yash Sirvi,…
DART: Implicit Doppler Tomography for Radar Novel View Synthesisby Tianshu Huang, John Miller, Akarsh Prabhakara,…
Extreme Precipitation Nowcasting using Transformer-based Generative Modelsby Cristian Meo, Ankush Roy, Mircea Lică, Junzhe Yin,…
SPEAR:Exact Gradient Inversion of Batches in Federated Learningby Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas…
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Modelsby Adithya Bhaskar, Dan Friedman, Danqi…