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Found 9 papers, 3 papers with code
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits
The main theme of the problem is the trade-off between exploration for detecting environment changes and exploitation of traditional bandit algorithms.
Age Aware Scheduling for Differentially-Private Federated Learning
This paper explores differentially-private federated learning (FL) across time-varying databases, delving into a nuanced three-way tradeoff involving age, accuracy, and differential privacy (DP).
Optimized Transmission Strategy for UAV-RIS 2.0 Assisted Communications Using Rate Splitting Multiple Access
A corresponding mixed integer nonlinear programming problem (MINLP) is formulated, which aims to jointly optimize 1) allocation of BD-RIS elements to groups, 2) BD-RIS phase rotations, 3) rate allocation in RSMA, and 4) precoders.
Committed Private Information Retrieval
A PIR scheme is $v$-verifiable if the client can verify the correctness of the retrieved $x_i$ even when $v \leq k$ servers collude and try to fool the client by sending manipulated data.
How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct
Namely: (i) gradient quantization through floating-point conversion, (ii) lossless compression of the quantized gradient, and (iii) quantization error correction.
Convert, compress, correct: Three steps toward communication-efficient DNN training
In this paper, we introduce a novel algorithm, $\mathsf{CO}_3$, for communication-efficiency distributed Deep Neural Network (DNN) training.
DNN gradient lossless compression: Can GenNorm be the answer?
In this paper we argue that, for some networks of practical interest, the gradient entries can be well modelled as having a generalized normal (GenNorm) distribution.
Wireless Federated Learning with Limited Communication and Differential Privacy
This paper investigates the role of dimensionality reduction in efficient communication and differential privacy (DP) of the local datasets at the remote users for over-the-air computation (AirComp)-based federated learning (FL) model.
Iterative Collision Resolution for Slotted ALOHA with NOMA for Heterogeneous Devices
In this paper, the problem of using uncoordinated multiple access (UMA) to serve a massive amount of heterogeneous users is investigated.
Information Theory Information Theory
