影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
50.91/100
前 8.1%
全站排名 #5,239
发表论文9 篇
平均评分
年均产出4.5 篇/年
Grigory Malinovsky
研究方向
Optimization · Convex Optimization · Distributed Optimization · Machine Learning · Deep Learning · Federated Learning
13
Federated Optimization Algorithms with Random Reshuffling and Gradient Compression
ICLR 2024Rejected
二作31
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
NeurIPS 2024Poster
二作17
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
NeurIPS 2024Poster
三作27
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
NeurIPS 2024Poster
一作15
Byzantine Robustness and Partial Participation Can Be Achieved Simultaneously: Just Clip Gradient Differences
ICLR 2024Rejected
一作16
Improving Accelerated Federated Learning with Compression and Importance Sampling
ICLR 2024Rejected
二作