PaperHub

Samuel Horváth

~Samuel_Horváth1

20
论文总数
10.0
年均投稿
5.1
平均评分
接收情况7/20
会议分布
ICLR
14
ICML
3
NeurIPS
3

发表论文 (20 篇)

202513 篇

3.0
4

Collaborative and Efficient Personalization with Mixtures of Adaptors

ICLR 2025withdrawn
6.1
4

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks

ICML 2025Poster
4.8
4

Federated Learning Can Find Friends That Are Advantageous

ICLR 2025Rejected
5.8
4

Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy

ICLR 2025Rejected
2.5
4

FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning

ICLR 2025withdrawn
6.4
3

Differentially Private Clipped-SGD: High-Probability Convergence with Arbitrary Clipping Level

NeurIPS 2025Rejected
4.9
4

FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training

ICML 2025Poster
5.2
5

FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training

ICLR 2025Rejected
3.8
5

Flashback: Understanding and Mitigating Forgetting in Federated Learning

ICLR 2025withdrawn
7.0
4

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization

ICLR 2025Poster
5.3
4

Clipping Improves Adam and AdaGrad when the Noise Is Heavy-Tailed

ICLR 2025Rejected
6.2
5

Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity

ICLR 2025Poster
4.9
4

Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed

ICML 2025Poster

20247 篇

5.8
4

Maestro: Uncovering Low-Rank Structures via Trainable Decomposition

ICLR 2024Rejected
3.7
3

Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks

ICLR 2024Rejected
5.3
3

Clip21: Error Feedback for Gradient Clipping

ICLR 2024Rejected
4.8
5

Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences

NeurIPS 2024Poster
6.0
4

Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad

NeurIPS 2024Poster
4.7
3

Byzantine Robustness and Partial Participation Can Be Achieved Simultaneously: Just Clip Gradient Differences

ICLR 2024Rejected
5.0
3

High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise

ICLR 2024Rejected
合作者 (20)