Shay Vargaftik
Researcher
Herzliya, IL, IL
I enjoy working on interdisciplinary systems, including their design, analysis, and implementation. I hold a Ph.D. in EE (Technion) and am passionate about machine learning, networking, and emerging technologies.
Check out our recent efforts in pushing the limits of network efficiency for federated machine learning here.
Recent external service:
Projects
- Resource-Efficient Classification
- Efficient and Trustworthy Machine Learning
- Efficient Federated Learning
Publications
- Faster and More Accurate Measurement through Additive-Error Counters
- Virtualized Congestion Control
- dRMT: Disagreggated Programmable Switching
- Composite-Path Switching
- Memento: Making Sliding Windows Efficient for Heavy Hitters
- RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
- C-Share: Optical Circuits Sharing for Software-Defined Data-Centers
- Distributed Dispatching in the Parallel Server Model
- DRIVE: One-bit Distributed Mean Estimation
- Load Balancing with JET: Just Enough Tracking for Connection Consistency
- How to Send a Real Number Using a Single Bit (and Some Shared Randomness)
- Stochastic Coordination in Heterogeneous Load Balancing Systems
- SALSA: Self-Adjusting Lean Streaming Analytics
- Characterizing, Exploiting, and Detecting DMA Code Injection Vulnerabilities in the Presence of an IOMMU
- AnchorHash: A Scalable Consistent Hash
- Efficient Multiclass Classification with Duet