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Found 4 papers, 1 papers with code
FedDec: Peer-to-peer Aided Federated Learning
We analyze the convergence of FedDec under the assumptions of non-iid data distribution, partial device participation, and smooth and strongly convex costs, and show that inter-agent communication alleviates the negative impact of infrequent communication rounds with the server by reducing the dependence on the number of local updates $H$ from $O(H^2)$ to $O(H)$.
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization
In decentralized optimization environments, each agent $i$ in a network of $n$ nodes has its own private function $f_i$, and nodes communicate with their neighbors to cooperatively minimize the aggregate objective $\sum_{i=1}^n f_i$.
SOBA: Session optimal MDP-based network friendly recommendations
Caching content over CDNs or at the network edge has been solidified as a means to improve network cost and offer better streaming experience to users.
Networking and Internet Architecture Performance
Problem-Adapted Artificial Intelligence for Online Network Optimization
To this end, we propose the framework of Online Network Optimization (ONO), which seeks to maintain both agile and efficient control over time, using an arsenal of data-driven, online learning, and AI-based techniques.
