papers
Publications (3)
cs.LG2025
Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learning
Georg Meinhardt, Kai Yi, Laurent Condat +1
In Federated Learning (FL), both client resource constraints and communication costs pose major problems for training large models. In the centralized setting, sparse training addr…
cs.AI2026
BigFinanceBench: A Workflow-Grounded Benchmark for Financial-Research Agents
Alex Wang, Georg Meinhardt, Jacob Katz +4
Financial-research answers are decision-relevant only when another analyst can audit how they were produced: which source was chosen, which period and accounting definition were us…
cs.LG2025
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
Kai Yi, Georg Meinhardt, Laurent Condat +1
Federated Learning (FL) has garnered increasing attention due to its unique characteristic of allowing heterogeneous clients to process their private data locally and interact with…