Summary of Fedllm-bench: Realistic Benchmarks For Federated Learning Of Large Language Models, by Rui Ye et al.
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Modelsby Rui Ye, Rui Ge, Xinyu…
Summary of Multi-view Stochastic Block Models, by Vincent Cohen-addad et al.
Multi-View Stochastic Block Modelsby Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi, Rajai NasserFirst submitted to arxiv…
Summary of Ctbench: a Library and Benchmark For Certified Training, by Yuhao Mao et al.
CTBENCH: A Library and Benchmark for Certified Trainingby Yuhao Mao, Stefan Balauca, Martin VechevFirst submitted…
Summary of Deep Learning For Precipitation Nowcasting: a Survey From the Perspective Of Time Series Forecasting, by Sojung An et al.
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecastingby Sojung…
Summary of Perturb-and-project: Differentially Private Similarities and Marginals, by Vincent Cohen-addad et al.
Perturb-and-Project: Differentially Private Similarities and Marginalsby Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Vahab Mirrokni, Peilin…
Summary of Enhancing Indoor Temperature Forecasting Through Synthetic Data in Low-data Environments, by Zachari Thiry et al.
Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Environmentsby Zachari Thiry, Massimiliano Ruocco, Alessandro…
Summary of Diversified Batch Selection For Training Acceleration, by Feng Hong et al.
Diversified Batch Selection for Training Accelerationby Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor…
Summary of From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning, by Moritz Lampert et al.
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learningby Moritz Lampert, Christopher…
Summary of Stabilizing Extreme Q-learning by Maclaurin Expansion, By Motoki Omura et al.
Stabilizing Extreme Q-learning by Maclaurin Expansionby Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya HaradaFirst submitted…
Summary of Concept Drift Detection Using Ensemble Of Integrally Private Models, by Ayush K. Varshney et al.
Concept Drift Detection using Ensemble of Integrally Private Modelsby Ayush K. Varshney, Vicenc TorraFirst submitted…