Shay Vargaftik
7 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (11) πΊοΈ Taxonomy Completionist (11)
π₯
Unstoppable
(5)
Conferences
ICML (3)
NIPS (2)
NSDI (2)
Top co-authors
Keywords
communication efficiency
(3)
gradient compression
(3)
federated learning
(3)
distributed mean estimation
(2)
distributed training
(2)
model compression
(2)
communication compression
(1)
stochastic quantization
(1)
runtime complexity
(1)
adaptive quantization
(1)
tail latency
(1)
cloud computing
(1)
cross-device setting
(1)
packet loss
(1)
downlink compression
(1)
one-bit compression
(1)
in-network aggregation
(1)
homomorphic compression
(1)
gradient drop
(1)
vector quantization
(1)
Papers
OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud
NSDI 2025
Accelerating Federated Learning with Quick Distributed Mean Estimation
ICML 2024
Optimal and Approximate Adaptive Stochastic Quantization
NIPS 2024
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
NSDI 2024
DoCoFL: Downlink Compression for Cross-Device Federated Learning
ICML 2023
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
ICML 2022
DRIVE: One-bit Distributed Mean Estimation
NIPS 2021