Summary of Selective Aggregation For Low-rank Adaptation in Federated Learning, by Pengxin Guo et al.
Selective Aggregation for Low-Rank Adaptation in Federated Learningby Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie…
Selective Aggregation for Low-Rank Adaptation in Federated Learningby Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie…
Bounds on Lp errors in density ratio estimation via f-divergence loss functionsby Yoshiaki KitazawaFirst submitted…
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systemsby Bocheng Zeng, Qi Wang, Mengtao…
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encodingby Kevin Xu,…
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct…
Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rateby Jie ShenFirst submitted to arxiv…
Stochastic Gradient Descent with Adaptive Databy Ethan Che, Jing Dong, Xin T. TongFirst submitted to…
Dual Approximation Policy Optimizationby Zhihan Xiong, Maryam Fazel, Lin XiaoFirst submitted to arxiv on: 2…
Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learningby Pratik Patil, Jin-Hong…
Deep Unlearn: Benchmarking Machine Unlearningby Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed…