101 citations · 843 across the 66 of their papers we have counts for
70 papers
Near-Optimal Privacy-Preserving Learning for Max-Min Fair Multi-Agent Bandits
Amir Leshem
We study fair multi-agent multi-armed bandit learning under collision-only coordination. Agents cannot communicate explicitly during learning and observe only their own rewards and…
Joint Scheduling and Resource Allocation for Packets with Deadlines and Priorities
Li-on Raviv, Amir Leshem
Cellular networks provide communication for different applications. Some applications have strict and very short latency requirements, while others require high bandwidth with vary…
Communication Efficient Distributed Learning over Wireless Channels
Idan Achituve, Wenbo Wang, Ethan Fetaya +1
Vertical distributed learning exploits the local features collected by multiple learning workers to form a better global model. However, the exchange of data between the workers an…
Medium Access Control protocol for Collaborative Spectrum Learning in Wireless Networks
Tomer Boyarski, Wenbo Wang, Amir Leshem
In recent years there is a growing effort to provide learning algorithms for spectrum collaboration. In this paper we present a medium access control protocol which allows spectrum…
Non-convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks
Wenbo Wang, Amir Leshem
Network management is a fundamental ingredient for efficient operation of wireless networks. With increasing bandwidth, number of antennas and number of users, the amount of inform…
Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing
Pranav M. Pawar, Amir Leshem
Spectrum sharing among users is a fundamental problem in the management of any wireless network. In this paper, we discuss the problem of distributed spectrum collaboration without…