In federated learning (FL), clients usually have diverse participation
p...
In a typical formulation of the private information retrieval (PIR) prob...
Distributed Linearly Separable Computation problem under the cyclic
assi...
Federated learning (FL) enables distributed model training from local da...
Federated learning (FL) faces challenges of intermittent client availabi...
Secure aggregation, which is a core component of federated learning,
agg...
Federated learning (FL) is a key enabler for efficient communication and...
Coded caching has been shown as a promissing method to reduce the networ...
Federated learning (FL) is a useful tool in distributed machine learning...
Mobile devices are indispensable sources of big data. Federated learning...
This paper aims to integrate two synergetic technologies, federated lear...
We consider the problem of distributed downlink beam scheduling and powe...
Elasticity is one important feature in modern cloud computing systems an...
Our extensive real measurements over Amazon EC2 show that the virtual
in...
Throughput-Outage scaling laws for single-hop cache-aided device-to-devi...
We propose using Carrier Sensing (CS) for distributed interference manag...
In the problem of cache-aided multiuser private information retrieval
(M...
Distributed linearly separable computation, where a user asks some
distr...
Coded Caching, proposed by Maddah-Ali and Niesen (MAN), has the potentia...
This paper studies the problem of distributed beam scheduling for 5G
mil...
Federated learning is an effective approach to realize collaborative lea...
We consider the problem of cache-aided Multiuser Private Information
Ret...
This paper studies the distributed linearly separable computation proble...
We consider a cache-aided interference network which consists of a libra...
We propose a flexible low complexity design (FLCD) of coded distributed
...
We study the optimal design of heterogeneous Coded Elastic Computing (CE...
Coding theoretic approached have been developed to significantly reduce ...
Coded Distributed Computing (CDC) introduced by Li et al. in 2015 offers...
Coded caching is a promising technique to smooth out network traffic by
...
This paper formulates a distributed computation problem, where a master ...
Cache-aided wireless device-to-device (D2D) networks have demonstrated
p...
This paper considers the MapReduce-like coded distributed computing fram...
Coded caching is an information theoretic scheme to reduce high peak hou...
We study the optimal design of a heterogeneous coded elastic computing (...
Coded caching has the potential to greatly reduce network traffic by
lev...
In the coded caching problem as originally formulated by Maddah-Ali and
...
In order to preserve the privacy of the users demands from other users, ...
We study private information retrieval (PIR) where a user privately down...
This paper proposes a video delivery strategy for dynamic streaming serv...
Coded distributed computing (CDC) introduced by Li et. al. is an effecti...
Caching of video files on user devices, combined with file exchange thro...
We consider a cache-aided interference network which consists of a libra...
Coded distributed computing (CDC) introduced by Li et al. in 2015 offers...
Private information retrieval (PIR) allows a user to download one of K
m...
In this paper, we propose a new design framework on Device-to-Device (D2...
This paper studies the fundamental limits of the shared-link caching pro...
This paper considers a novel cache-aided "fog" Radio Access Network (Fog...
Data shuffling of training data among different computing nodes (workers...
On-demand video accounts for the majority of wireless data traffic. Vide...
Caching is an efficient way to reduce peak hour network traffic congesti...