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Ramesh Raskar — most-cited papers & profile · Large Language Models
← authors
·
overview
Ramesh Raskar
24
papers ·
1104
citations ·
82
h-index
Massachusetts Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Designing Neural Network Architectures using Reinforcement Learning
2016 · 424 citations
FedML: A Research Library and Benchmark for Federated Machine Learning
2020 · 358 citations
Split learning for health: Distributed deep learning without sharing raw patient data
2018 · 179 citations
No Peek: A Survey of private distributed deep learning
2018 · 47 citations
Detailed comparison of communication efficiency of split learning and federated learning
2019 · 44 citations
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning
2021 · 14 citations
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
2021 · 12 citations
NoPeek: Information leakage reduction to share activations in distributed deep learning
2020 · 10 citations
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning
2022 · 4 citations
Differentially Private CutMix for Split Learning with Vision Transformer
2022 · 4 citations
Scalable Collaborative Learning via Representation Sharing
2022 · 1 citations
Federated Conformal Predictors for Distributed Uncertainty Quantification
2023 · 1 citations
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
2024 · 1 citations
DAVED: Data Acquisition via Experimental Design for Data Markets
2024 · 1 citations
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
2024 · 1 citations
Top co-authors
Arnau Quera-Bofarull
· 1
Ayush Chopra
· 1
Nurullah Giray-Kuru
· 1
Shashank Kumar
· 1
Topics
Federated Learning
Privacy
Optimization
Security
Communication
Data Heterogeneity
agent
cs.CY
cs.MA
Meta-RL