290 citations · 303 across the 5 of their papers we have counts for
6 papers
Adaptive Compression in Federated Learning via Side Information
Berivan Isik, Francesco Pase, Deniz Gunduz +3
The high communication cost of sending model updates from the clients to the server is a significant bottleneck for scalable federated learning (FL). Among existing approaches, sta…
Intelligent Computing: The Latest Advances, Challenges and Future
Shiqiang Zhu, Ting Yu, Tao Xu +18
Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm…
Sparse Random Networks for Communication-Efficient Federated Learning
Berivan Isik, Francesco Pase, Deniz Gunduz +2
One main challenge in federated learning is the large communication cost of exchanging weight updates from clients to the server at each round. While prior work has made great prog…
FedRec: Federated Learning of Universal Receivers over Fading Channels
Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar +1
Wireless communications is often subject to channel fading. Various statistical models have been proposed to capture the inherent randomness in fading, and conventional model-based…
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization
Jingyuan Xia, Shengxi Li, Jun-Jie Huang +2
In this paper, we propose a novel solution for non-convex problems of multiple variables, especially for those typically solved by an alternating minimization (AM) strategy that sp…
Social diversity for reducing the impact of information cascades on social learning
Fernando Rosas, Kwang-Cheng Chen, Deniz Gunduz
Collective behavior in online social media and networks is known to be capable of generating non-intuitive dynamics associated with crowd wisdom and herd behaviour. Even though the…