62 citations · 170 across the 44 of their papers we have counts for
5 papers · 1 filter
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
Abolfazl Hashemi, Anish Acharya, Rudrajit Das +3
In decentralized optimization, it is common algorithmic practice to have nodes interleave (local) gradient descent iterations with gossip (i.e. averaging over the network) steps. M…
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder
Ziqi Ke, Haris Vikalo
Identification of the type of communication technology and/or modulation scheme based on detected radio signal are challenging problems encountered in a variety of applications inc…
Communication-Efficient Federated Learning via Optimal Client Sampling
Monica Ribero, Haris Vikalo
Federated learning (FL) ameliorates privacy concerns in settings where a central server coordinates learning from data distributed across many clients. The clients train locally an…
Decentralized Optimization On Time-Varying Directed Graphs Under Communication Constraints
Yiyue Chen, Abolfazl Hashemi, Haris Vikalo
We consider the problem of decentralized optimization where a collection of agents, each having access to a local cost function, communicate over a time-varying directed network an…
Federating Recommendations Using Differentially Private Prototypes
Mónica Ribero, Jette Henderson, Sinead Williamson +1
Machine learning methods allow us to make recommendations to users in applications across fields including entertainment, dating, and commerce, by exploiting similarities in users'…