We consider the problem of private membership aggregation (PMA), in whic...
A sensor observes a random phenomenon and transmits updates about the
ob...
We consider a gossip network consisting of a source forwarding updates a...
Deep learning based joint source-channel coding (JSCC) has demonstrated
...
We consider both the classical and quantum variations of X-secure,
E-eav...
We study the structure of the optimal sampling policy to minimize the av...
This paper studies task-oriented, otherwise known as goal-oriented,
comm...
We consider a slotted communication system consisting of a source, a cac...
We consider a gossip network consisting of a source generating updates a...
In federated submodel learning (FSL), a machine learning model is divide...
We introduce the problem of deceptive information retrieval (DIR), in wh...
We consider an asynchronous hierarchical federated learning (AHFL) setti...
We consider the federated submodel learning (FSL) problem in a distribut...
We consider a time slotted communication network with a base station (BS...
We consider a special case of X-secure T-private information retrieval
(...
We consider a network of n user nodes that receives updates from a sourc...
Private information retrieval (PIR) is a privacy setting that allows a u...
We consider a fully-connected wireless gossip network which consists of ...
We study the version age of information in a multi-hop multi-cast
cache-...
We consider a semantics-aware communication system, where timeliness is ...
In federated learning (FL), a machine learning (ML) model is collectivel...
We consider a communication system where a base station (BS) transmits u...
We investigate the problem of private read update write (PRUW) with
hete...
We consider a network consisting of n nodes that aim to track a continua...
We study age of information in multi-hop multi-cast cache-enabled networ...
We consider the federated submodel learning (FSL) problem and propose an...
This paper studies the notion of age in task-oriented communications tha...
We consider a time slotted communication system consisting of a base sta...
We consider a time slotted communication network consisting of a base st...
We consider gossiping in a fully-connected wireless network consisting o...
We consider gossip networks consisting of a source that maintains the cu...
In federated learning (FL) with top r sparsification, millions of users
...
Decentralized and federated learning algorithms face data heterogeneity ...
This paper highlights vulnerabilities of deep learning-driven semantic
c...
Semantic communications seeks to transfer information from a source whil...
We investigate the trade-off between rate, privacy and storage in federa...
Communications systems to date are primarily designed with the goal of
r...
Multi-task learning (MTL) is a learning paradigm to learn multiple relat...
We improve security-latency bounds of Nakamoto consensus by analyzing th...
We investigate the problem of private read update write (PRUW) in relati...
We consider a fully-connected wireless gossip network which consists of ...
We investigate the rate distortion tradeoff in private read update write...
We investigate the problem of private read update write (PRUW) in federa...
We consider the dynamic infection spread model that is based on the disc...
We consider a fully connected network consisting of a source that mainta...
We introduce the problem of random symmetric private information retriev...
We consider a system with a source which maintains the most current vers...
Multi-task learning (MTL) is a novel framework to learn several tasks
si...
We consider real-time timely tracking of infection status (e.g., covid-1...
In status update systems, multiple features carried by the status updati...