activity
20142023
most citedPeer-to-peer Federated Learning on Graphs

139 citations · 193 across the 8 of their papers we have counts for

collaborators

11 papers

cs.LG2023

Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances

Anusha Lalitha, Kousha Kalantari, Yifei Ma +2

We study the problem of best-arm identification (BAI) in the fixed-budget setting with heterogeneous reward variances. We propose two variance-adaptive BAI algorithms for this sett…

cs.LG2021★ 1 cited

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams

Erdem Bıyık, Anusha Lalitha, Rajarshi Saha +2

When humans collaborate with each other, they often make decisions by observing others and considering the consequences that their actions may have on the entire team, instead of g…

cs.IT2020★ 1 cited

Causal Posterior Matching and its Applications

Anusha Lalitha, Anatoly Khina, Tara Javidi

We consider the problem of communication over the binary symmetric channel with feedback, where the information sequence is made available in a causal, possibly random, fashion. We…

cs.IT2020★ 3 cited

On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests

Anusha Lalitha, Tara Javidi

We examine a new class of channel coding strategies, and hypothesis tests referred to as almost-fixed-length strategies that have little flexibility in the stopping time over fixed…

stat.ML2020

Bayesian Algorithms for Decentralized Stochastic Bandits

Anusha Lalitha, Andrea Goldsmith

We study a decentralized cooperative multi-agent multi-armed bandit problem with arms and agents connected over a network. In our model, each arm's reward distribution is s…

stat.ML2019★ 25 cited

Decentralized Bayesian Learning over Graphs

Anusha Lalitha, Xinghan Wang, Osman Kilinc +3

We propose a decentralized learning algorithm over a general social network. The algorithm leaves the training data distributed on the mobile devices while utilizing a peer to peer…