36 citations · 124 across the 26 of their papers we have counts for
5 papers · 1 filter
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Shay Vargaftik, Ran Ben Basat, Amit Portnoy +3
Distributed Mean Estimation (DME) is a central building block in federated learning, where clients send local gradients to a parameter server for averaging and updating the model.…
Stochastic Coordination in Heterogeneous Load Balancing Systems
Guy Goren, Shay Vargaftik, Yoram Moses
Current-day data centers and high-volume cloud services employ a broad set of heterogeneous servers. In such settings, client requests typically arrive at multiple entry points, an…
DRIVE: One-bit Distributed Mean Estimation
Shay Vargaftik, Ran Ben Basat, Amit Portnoy +3
We consider the problem where clients transmit -dimensional real-valued vectors using bits each, in a manner that allows the receiver to approximately reconstruc…
On the Persistent-Idle Load Distribution Policy Under Batch Arrivals and Random Service Capacity
Rami Atar, Isaac Keslassy, Gal Mendelson +2
The Persistent-Idle (PI) load distribution policy was recently introduced as an appealing alternative to current low-communication load balancing techniques. In PI, servers only up…
SALSA: Self-Adjusting Lean Streaming Analytics
Ran Ben Basat, Gil Einziger, Michael Mitzenmacher +1
Counters are the fundamental building block of many data sketching schemes, which hash items to a small number of counters and account for collisions to provide good approximations…