Summary of Tpfl: a Trustworthy Personalized Federated Learning Framework Via Subjective Logic, by Jinqian Chen et al.
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logicby Jinqian Chen, Jihua ZhuFirst submitted…
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logicby Jinqian Chen, Jihua ZhuFirst submitted…
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphsby Dongqi…
MoH: Multi-Head Attention as Mixture-of-Head Attentionby Peng Jin, Bo Zhu, Li Yuan, Shuicheng YanFirst submitted…
Simulation-based inference with scattering representations: scattering is all you needby Kiyam Lin, Benjamin Joachimi, Jason…
DDIL: Improved Diffusion Distillation With Imitation Learningby Risheek Garrepalli, Shweta Mahajan, Munawar Hayat, Fatih PorikliFirst…
DySpec: Faster Speculative Decoding with Dynamic Token Tree Structureby Yunfan Xiong, Ruoyu Zhang, Yanzeng Li,…
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixturesby Wei Shen, Ruida…
A Theoretical Survey on Foundation Modelsby Shi Fu, Yuzhu Chen, Yingjie Wang, Dacheng TaoFirst submitted…
Data Quality Control in Federated Instruction-tuning of Large Language Modelsby Yaxin Du, Rui Ye, Fengting…
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet Accuracyby…