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
9.86/100
超过 30.7%
全站排名 #44,645
发表论文4 篇
平均评分
年均产出2.0 篇/年
Nail Bashirov
研究方向
optimization theory · federative learning · deep learning · reinforcement learning · stochastic optimization · convex optimization · distributed optimization
20
Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression
ICLR 2026Poster
二作6
DIANA with Compression for Distributed Variational Inequalities: Eliminating the Need to Transmit Full Gradients
ICLR 2026Rejected
一作16
A Strategy-Agnostic Framework for Partial Participation in Federated Learning
ICLR 2026Rejected