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Communication-efficient edge AI: Algorithms and systems
Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields,
ranging from speech processing, image classification to drug discovery. This is driven by the …
ranging from speech processing, image classification to drug discovery. This is driven by the …
[HTML][HTML] Service-aware 6G: An intelligent and open network based on the convergence of communication, computing and caching
With the proliferation of the Internet of Things (IoT), various services are emerging with totally
different features and requirements, which cannot be supported by the current fifth …
different features and requirements, which cannot be supported by the current fifth …
Edge artificial intelligence for 6G: Vision, enabling technologies, and applications
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …
wireless networks. It has been envisioned that 6G will be transformative and will …
Methods and devices for radio communications
S Azizi, B Badic, J Browne, D Cavalcanti… - US Patent …, 2023 - Google Patents
2019-11-14 Assigned to INTEL CORPORATION reassignment INTEL CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
Models, methods, and solutions for multicasting in 5G/6G mmWave and sub-THz systems
Multicasting in wireless access networks is a functionality that, by leveraging group
communications, turns out to be essential for reducing the amount of resources needed to …
communications, turns out to be essential for reducing the amount of resources needed to …
A fundamental tradeoff between computation and communication in distributed computing
How can we optimally trade extra computing power to reduce the communication load in
distributed computing? We answer this question by characterizing a fundamental tradeoff …
distributed computing? We answer this question by characterizing a fundamental tradeoff …
The exact rate-memory tradeoff for caching with uncoded prefetching
We consider a basic cache network, in which a single server is connected to multiple users
via a shared bottleneck link. The server has a database of files (content). Each user has an …
via a shared bottleneck link. The server has a database of files (content). Each user has an …
A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications
Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …
due to benefits such as high reliability, scalability, computation speed, and cost …
A unified coding framework for distributed computing with straggling servers
We propose a unified coding framework for distributed computing with straggling servers, by
introducing a tradeoff between" latency of computation" and" load of communication" for …
introducing a tradeoff between" latency of computation" and" load of communication" for …
Near-optimal straggler mitigation for distributed gradient methods
Modern learning algorithms use gradient descent updates to train inferential models that
best explain data. Scaling these approaches to massive data sizes requires proper …
best explain data. Scaling these approaches to massive data sizes requires proper …